prediction_model.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 467,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from IPython.display import display\n",
    "pd.options.display.max_columns = None\n",
    "\n",
    "from typing import Dict, List, Tuple, Text\n",
    "import statsmodels.api as sm\n",
    "\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn import preprocessing\n",
    "\n",
    "\n",
    "from sklearn.linear_model import LinearRegression\n",
    "import xgboost\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "from tpot import TPOTRegressor\n",
    "\n",
    "\n",
    "from collections import OrderedDict\n",
    "from sklearn.metrics import mean_squared_error\n",
    "from math import sqrt\n",
    "\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Cleaning "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['ls', 'st', 'rs', 'lw', 'lf', 'cf', 'rf', 'rw', 'lam', 'cam', 'ram',\n",
      "       'lm', 'lcm', 'cm', 'rcm', 'rm', 'lwb', 'ldm', 'cdm', 'rdm', 'rwb', 'lb',\n",
      "       'lcb', 'cb', 'rcb', 'rb'],\n",
      "      dtype='object')\n"
     ]
    },
    {
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       "      <td>CAM, LM</td>\n",
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       "      <td>CAM, CM, RM</td>\n",
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       "      <td>ST</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
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       "      <td>87</td>\n",
       "      <td>29500000</td>\n",
       "      <td>190000</td>\n",
       "      <td>CDM, RB, CM</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>32500000</td>\n",
       "      <td>190000</td>\n",
       "      <td>CB</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
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       "      <td>3</td>\n",
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       "      <td>74</td>\n",
       "      <td>87</td>\n",
       "      <td>87</td>\n",
       "      <td>47500000</td>\n",
       "      <td>230000</td>\n",
       "      <td>ST</td>\n",
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       "      <td>6</td>\n",
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       "      <td>2016</td>\n",
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       "    <tr>\n",
       "      <th>155862</th>\n",
       "      <td>29</td>\n",
       "      <td>183</td>\n",
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       "      <td>87</td>\n",
       "      <td>34000000</td>\n",
       "      <td>190000</td>\n",
       "      <td>CB</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
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       "      <td>7</td>\n",
       "      <td>11</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156616</th>\n",
       "      <td>32</td>\n",
       "      <td>170</td>\n",
       "      <td>72</td>\n",
       "      <td>87</td>\n",
       "      <td>87</td>\n",
       "      <td>34000000</td>\n",
       "      <td>190000</td>\n",
       "      <td>LM</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>26</td>\n",
       "      <td>15</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162895</th>\n",
       "      <td>28</td>\n",
       "      <td>175</td>\n",
       "      <td>74</td>\n",
       "      <td>87</td>\n",
       "      <td>87</td>\n",
       "      <td>43500000</td>\n",
       "      <td>220000</td>\n",
       "      <td>CM, CAM</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>62</td>\n",
       "      <td>66</td>\n",
       "      <td>62</td>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>8</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177003</th>\n",
       "      <td>29</td>\n",
       "      <td>174</td>\n",
       "      <td>65</td>\n",
       "      <td>87</td>\n",
       "      <td>87</td>\n",
       "      <td>41500000</td>\n",
       "      <td>190000</td>\n",
       "      <td>CM, CDM</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>69</td>\n",
       "      <td>75</td>\n",
       "      <td>73</td>\n",
       "      <td>13</td>\n",
       "      <td>9</td>\n",
       "      <td>7</td>\n",
       "      <td>14</td>\n",
       "      <td>9</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195864</th>\n",
       "      <td>22</td>\n",
       "      <td>188</td>\n",
       "      <td>80</td>\n",
       "      <td>86</td>\n",
       "      <td>92</td>\n",
       "      <td>53000000</td>\n",
       "      <td>180000</td>\n",
       "      <td>CM</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>80</td>\n",
       "      <td>78</td>\n",
       "      <td>85</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192119</th>\n",
       "      <td>23</td>\n",
       "      <td>199</td>\n",
       "      <td>88</td>\n",
       "      <td>86</td>\n",
       "      <td>90</td>\n",
       "      <td>44000000</td>\n",
       "      <td>180000</td>\n",
       "      <td>GK</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>84</td>\n",
       "      <td>87</td>\n",
       "      <td>69</td>\n",
       "      <td>86</td>\n",
       "      <td>88</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192985</th>\n",
       "      <td>24</td>\n",
       "      <td>181</td>\n",
       "      <td>76</td>\n",
       "      <td>86</td>\n",
       "      <td>89</td>\n",
       "      <td>50500000</td>\n",
       "      <td>190000</td>\n",
       "      <td>CAM, LM, RM</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>37</td>\n",
       "      <td>39</td>\n",
       "      <td>40</td>\n",
       "      <td>15</td>\n",
       "      <td>13</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>13</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193080</th>\n",
       "      <td>24</td>\n",
       "      <td>193</td>\n",
       "      <td>82</td>\n",
       "      <td>86</td>\n",
       "      <td>89</td>\n",
       "      <td>42500000</td>\n",
       "      <td>180000</td>\n",
       "      <td>GK</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25</td>\n",
       "      <td>21</td>\n",
       "      <td>25</td>\n",
       "      <td>88</td>\n",
       "      <td>81</td>\n",
       "      <td>86</td>\n",
       "      <td>85</td>\n",
       "      <td>89</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165153</th>\n",
       "      <td>27</td>\n",
       "      <td>187</td>\n",
       "      <td>79</td>\n",
       "      <td>86</td>\n",
       "      <td>88</td>\n",
       "      <td>46500000</td>\n",
       "      <td>230000</td>\n",
       "      <td>ST</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178603</th>\n",
       "      <td>26</td>\n",
       "      <td>191</td>\n",
       "      <td>92</td>\n",
       "      <td>86</td>\n",
       "      <td>88</td>\n",
       "      <td>39000000</td>\n",
       "      <td>220000</td>\n",
       "      <td>CB</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>88</td>\n",
       "      <td>90</td>\n",
       "      <td>86</td>\n",
       "      <td>15</td>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184941</th>\n",
       "      <td>26</td>\n",
       "      <td>169</td>\n",
       "      <td>62</td>\n",
       "      <td>86</td>\n",
       "      <td>88</td>\n",
       "      <td>47000000</td>\n",
       "      <td>230000</td>\n",
       "      <td>LW, RW</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>30</td>\n",
       "      <td>39</td>\n",
       "      <td>35</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>15</td>\n",
       "      <td>12</td>\n",
       "      <td>13</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248360</th>\n",
       "      <td>17</td>\n",
       "      <td>170</td>\n",
       "      <td>69</td>\n",
       "      <td>48</td>\n",
       "      <td>66</td>\n",
       "      <td>60000</td>\n",
       "      <td>1000</td>\n",
       "      <td>LW, LM</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>49.0</td>\n",
       "      <td>16</td>\n",
       "      <td>23</td>\n",
       "      <td>24</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>12</td>\n",
       "      <td>7</td>\n",
       "      <td>14</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233667</th>\n",
       "      <td>20</td>\n",
       "      <td>185</td>\n",
       "      <td>75</td>\n",
       "      <td>48</td>\n",
       "      <td>65</td>\n",
       "      <td>70000</td>\n",
       "      <td>2000</td>\n",
       "      <td>ST</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>45.0</td>\n",
       "      <td>30</td>\n",
       "      <td>27</td>\n",
       "      <td>26</td>\n",
       "      <td>14</td>\n",
       "      <td>12</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238550</th>\n",
       "      <td>19</td>\n",
       "      <td>178</td>\n",
       "      <td>74</td>\n",
       "      <td>48</td>\n",
       "      <td>65</td>\n",
       "      <td>60000</td>\n",
       "      <td>1000</td>\n",
       "      <td>ST</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>49.0</td>\n",
       "      <td>18</td>\n",
       "      <td>16</td>\n",
       "      <td>11</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>11</td>\n",
       "      <td>7</td>\n",
       "      <td>12</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245408</th>\n",
       "      <td>19</td>\n",
       "      <td>182</td>\n",
       "      <td>78</td>\n",
       "      <td>48</td>\n",
       "      <td>65</td>\n",
       "      <td>50000</td>\n",
       "      <td>1000</td>\n",
       "      <td>GK</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>25.0</td>\n",
       "      <td>10</td>\n",
       "      <td>13</td>\n",
       "      <td>12</td>\n",
       "      <td>44</td>\n",
       "      <td>46</td>\n",
       "      <td>45</td>\n",
       "      <td>48</td>\n",
       "      <td>51</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248851</th>\n",
       "      <td>18</td>\n",
       "      <td>175</td>\n",
       "      <td>72</td>\n",
       "      <td>48</td>\n",
       "      <td>65</td>\n",
       "      <td>60000</td>\n",
       "      <td>1000</td>\n",
       "      <td>CM</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>36.0</td>\n",
       "      <td>40</td>\n",
       "      <td>51</td>\n",
       "      <td>45</td>\n",
       "      <td>9</td>\n",
       "      <td>7</td>\n",
       "      <td>13</td>\n",
       "      <td>15</td>\n",
       "      <td>6</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250739</th>\n",
       "      <td>18</td>\n",
       "      <td>178</td>\n",
       "      <td>60</td>\n",
       "      <td>48</td>\n",
       "      <td>65</td>\n",
       "      <td>60000</td>\n",
       "      <td>1000</td>\n",
       "      <td>CB</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>43.0</td>\n",
       "      <td>46</td>\n",
       "      <td>51</td>\n",
       "      <td>47</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>10</td>\n",
       "      <td>11</td>\n",
       "      <td>7</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>251269</th>\n",
       "      <td>18</td>\n",
       "      <td>183</td>\n",
       "      <td>66</td>\n",
       "      <td>48</td>\n",
       "      <td>65</td>\n",
       "      <td>60000</td>\n",
       "      <td>1000</td>\n",
       "      <td>ST</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>49.0</td>\n",
       "      <td>18</td>\n",
       "      <td>16</td>\n",
       "      <td>17</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>9</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>252548</th>\n",
       "      <td>18</td>\n",
       "      <td>188</td>\n",
       "      <td>78</td>\n",
       "      <td>48</td>\n",
       "      <td>65</td>\n",
       "      <td>60000</td>\n",
       "      <td>1000</td>\n",
       "      <td>CM</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>47.0</td>\n",
       "      <td>36</td>\n",
       "      <td>40</td>\n",
       "      <td>41</td>\n",
       "      <td>9</td>\n",
       "      <td>10</td>\n",
       "      <td>8</td>\n",
       "      <td>15</td>\n",
       "      <td>6</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241493</th>\n",
       "      <td>18</td>\n",
       "      <td>185</td>\n",
       "      <td>75</td>\n",
       "      <td>48</td>\n",
       "      <td>64</td>\n",
       "      <td>60000</td>\n",
       "      <td>1000</td>\n",
       "      <td>CB, RB</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>38.0</td>\n",
       "      <td>49</td>\n",
       "      <td>50</td>\n",
       "      <td>44</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>13</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248188</th>\n",
       "      <td>19</td>\n",
       "      <td>179</td>\n",
       "      <td>72</td>\n",
       "      <td>48</td>\n",
       "      <td>64</td>\n",
       "      <td>60000</td>\n",
       "      <td>1000</td>\n",
       "      <td>LW</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>43.0</td>\n",
       "      <td>15</td>\n",
       "      <td>26</td>\n",
       "      <td>27</td>\n",
       "      <td>11</td>\n",
       "      <td>12</td>\n",
       "      <td>11</td>\n",
       "      <td>9</td>\n",
       "      <td>8</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240927</th>\n",
       "      <td>18</td>\n",
       "      <td>178</td>\n",
       "      <td>67</td>\n",
       "      <td>48</td>\n",
       "      <td>63</td>\n",
       "      <td>60000</td>\n",
       "      <td>1000</td>\n",
       "      <td>CM</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>46.0</td>\n",
       "      <td>33</td>\n",
       "      <td>40</td>\n",
       "      <td>41</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "      <td>8</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248182</th>\n",
       "      <td>17</td>\n",
       "      <td>185</td>\n",
       "      <td>71</td>\n",
       "      <td>48</td>\n",
       "      <td>63</td>\n",
       "      <td>50000</td>\n",
       "      <td>1000</td>\n",
       "      <td>GK</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>20.0</td>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>50</td>\n",
       "      <td>49</td>\n",
       "      <td>48</td>\n",
       "      <td>47</td>\n",
       "      <td>51</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237599</th>\n",
       "      <td>21</td>\n",
       "      <td>174</td>\n",
       "      <td>62</td>\n",
       "      <td>48</td>\n",
       "      <td>62</td>\n",
       "      <td>60000</td>\n",
       "      <td>1000</td>\n",
       "      <td>CDM, CM</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>48.0</td>\n",
       "      <td>40</td>\n",
       "      <td>51</td>\n",
       "      <td>47</td>\n",
       "      <td>15</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "      <td>5</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238521</th>\n",
       "      <td>19</td>\n",
       "      <td>170</td>\n",
       "      <td>60</td>\n",
       "      <td>48</td>\n",
       "      <td>62</td>\n",
       "      <td>60000</td>\n",
       "      <td>1000</td>\n",
       "      <td>ST</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>44.0</td>\n",
       "      <td>18</td>\n",
       "      <td>12</td>\n",
       "      <td>18</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246694</th>\n",
       "      <td>19</td>\n",
       "      <td>182</td>\n",
       "      <td>80</td>\n",
       "      <td>48</td>\n",
       "      <td>61</td>\n",
       "      <td>50000</td>\n",
       "      <td>1000</td>\n",
       "      <td>CB, RB</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>43.0</td>\n",
       "      <td>44</td>\n",
       "      <td>52</td>\n",
       "      <td>54</td>\n",
       "      <td>10</td>\n",
       "      <td>7</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>13</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>251124</th>\n",
       "      <td>18</td>\n",
       "      <td>178</td>\n",
       "      <td>69</td>\n",
       "      <td>48</td>\n",
       "      <td>61</td>\n",
       "      <td>50000</td>\n",
       "      <td>1000</td>\n",
       "      <td>RB</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>36.0</td>\n",
       "      <td>41</td>\n",
       "      <td>49</td>\n",
       "      <td>56</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240917</th>\n",
       "      <td>21</td>\n",
       "      <td>178</td>\n",
       "      <td>76</td>\n",
       "      <td>48</td>\n",
       "      <td>60</td>\n",
       "      <td>50000</td>\n",
       "      <td>2000</td>\n",
       "      <td>CM</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>43.0</td>\n",
       "      <td>53</td>\n",
       "      <td>41</td>\n",
       "      <td>51</td>\n",
       "      <td>15</td>\n",
       "      <td>7</td>\n",
       "      <td>14</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241828</th>\n",
       "      <td>19</td>\n",
       "      <td>170</td>\n",
       "      <td>66</td>\n",
       "      <td>48</td>\n",
       "      <td>60</td>\n",
       "      <td>50000</td>\n",
       "      <td>1000</td>\n",
       "      <td>CDM, RB</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>39.0</td>\n",
       "      <td>46</td>\n",
       "      <td>50</td>\n",
       "      <td>45</td>\n",
       "      <td>8</td>\n",
       "      <td>9</td>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "      <td>7</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245029</th>\n",
       "      <td>21</td>\n",
       "      <td>175</td>\n",
       "      <td>70</td>\n",
       "      <td>48</td>\n",
       "      <td>60</td>\n",
       "      <td>50000</td>\n",
       "      <td>2000</td>\n",
       "      <td>CAM</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>54.0</td>\n",
       "      <td>34</td>\n",
       "      <td>42</td>\n",
       "      <td>46</td>\n",
       "      <td>11</td>\n",
       "      <td>15</td>\n",
       "      <td>10</td>\n",
       "      <td>11</td>\n",
       "      <td>14</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247002</th>\n",
       "      <td>19</td>\n",
       "      <td>178</td>\n",
       "      <td>75</td>\n",
       "      <td>48</td>\n",
       "      <td>60</td>\n",
       "      <td>50000</td>\n",
       "      <td>1000</td>\n",
       "      <td>CM</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>48.0</td>\n",
       "      <td>37</td>\n",
       "      <td>41</td>\n",
       "      <td>42</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>13</td>\n",
       "      <td>14</td>\n",
       "      <td>10</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247452</th>\n",
       "      <td>18</td>\n",
       "      <td>178</td>\n",
       "      <td>70</td>\n",
       "      <td>48</td>\n",
       "      <td>60</td>\n",
       "      <td>50000</td>\n",
       "      <td>1000</td>\n",
       "      <td>LM, RM, CM</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>41.0</td>\n",
       "      <td>30</td>\n",
       "      <td>35</td>\n",
       "      <td>32</td>\n",
       "      <td>7</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>252181</th>\n",
       "      <td>18</td>\n",
       "      <td>183</td>\n",
       "      <td>74</td>\n",
       "      <td>48</td>\n",
       "      <td>60</td>\n",
       "      <td>40000</td>\n",
       "      <td>1000</td>\n",
       "      <td>CB</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>43.0</td>\n",
       "      <td>40</td>\n",
       "      <td>48</td>\n",
       "      <td>49</td>\n",
       "      <td>8</td>\n",
       "      <td>12</td>\n",
       "      <td>13</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>252568</th>\n",
       "      <td>21</td>\n",
       "      <td>177</td>\n",
       "      <td>70</td>\n",
       "      <td>48</td>\n",
       "      <td>60</td>\n",
       "      <td>50000</td>\n",
       "      <td>1000</td>\n",
       "      <td>CM</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>42.0</td>\n",
       "      <td>36</td>\n",
       "      <td>37</td>\n",
       "      <td>42</td>\n",
       "      <td>10</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243961</th>\n",
       "      <td>20</td>\n",
       "      <td>180</td>\n",
       "      <td>72</td>\n",
       "      <td>48</td>\n",
       "      <td>59</td>\n",
       "      <td>50000</td>\n",
       "      <td>1000</td>\n",
       "      <td>CM</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>43.0</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>48</td>\n",
       "      <td>6</td>\n",
       "      <td>11</td>\n",
       "      <td>9</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>251789</th>\n",
       "      <td>20</td>\n",
       "      <td>188</td>\n",
       "      <td>84</td>\n",
       "      <td>48</td>\n",
       "      <td>58</td>\n",
       "      <td>40000</td>\n",
       "      <td>1000</td>\n",
       "      <td>GK</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>34.0</td>\n",
       "      <td>6</td>\n",
       "      <td>12</td>\n",
       "      <td>11</td>\n",
       "      <td>54</td>\n",
       "      <td>51</td>\n",
       "      <td>46</td>\n",
       "      <td>43</td>\n",
       "      <td>45</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245006</th>\n",
       "      <td>22</td>\n",
       "      <td>186</td>\n",
       "      <td>79</td>\n",
       "      <td>48</td>\n",
       "      <td>56</td>\n",
       "      <td>40000</td>\n",
       "      <td>2000</td>\n",
       "      <td>CB</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>41.0</td>\n",
       "      <td>45</td>\n",
       "      <td>50</td>\n",
       "      <td>52</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>13</td>\n",
       "      <td>5</td>\n",
       "      <td>14</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250995</th>\n",
       "      <td>22</td>\n",
       "      <td>177</td>\n",
       "      <td>66</td>\n",
       "      <td>48</td>\n",
       "      <td>56</td>\n",
       "      <td>40000</td>\n",
       "      <td>2000</td>\n",
       "      <td>CB</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>35.0</td>\n",
       "      <td>42</td>\n",
       "      <td>53</td>\n",
       "      <td>57</td>\n",
       "      <td>13</td>\n",
       "      <td>6</td>\n",
       "      <td>14</td>\n",
       "      <td>11</td>\n",
       "      <td>9</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>252332</th>\n",
       "      <td>19</td>\n",
       "      <td>186</td>\n",
       "      <td>75</td>\n",
       "      <td>48</td>\n",
       "      <td>56</td>\n",
       "      <td>40000</td>\n",
       "      <td>1000</td>\n",
       "      <td>CM</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>39.0</td>\n",
       "      <td>46</td>\n",
       "      <td>52</td>\n",
       "      <td>46</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "      <td>6</td>\n",
       "      <td>14</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>251110</th>\n",
       "      <td>18</td>\n",
       "      <td>185</td>\n",
       "      <td>74</td>\n",
       "      <td>48</td>\n",
       "      <td>54</td>\n",
       "      <td>40000</td>\n",
       "      <td>1000</td>\n",
       "      <td>CM</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>40.0</td>\n",
       "      <td>39</td>\n",
       "      <td>44</td>\n",
       "      <td>54</td>\n",
       "      <td>14</td>\n",
       "      <td>9</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233449</th>\n",
       "      <td>26</td>\n",
       "      <td>182</td>\n",
       "      <td>78</td>\n",
       "      <td>48</td>\n",
       "      <td>51</td>\n",
       "      <td>40000</td>\n",
       "      <td>2000</td>\n",
       "      <td>CM</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>42.0</td>\n",
       "      <td>52</td>\n",
       "      <td>42</td>\n",
       "      <td>48</td>\n",
       "      <td>8</td>\n",
       "      <td>12</td>\n",
       "      <td>14</td>\n",
       "      <td>9</td>\n",
       "      <td>10</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>85530 rows × 59 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           age  height_cm  weight_kg  overall  potential  value_eur  wage_eur  \\\n",
       "sofifa_id                                                                       \n",
       "158023      28        170         72       94         95  111000000    550000   \n",
       "20801       30        185         80       93         93   85500000    475000   \n",
       "9014        31        180         80       90         90   56000000    250000   \n",
       "167495      29        193         92       90         90   58000000    250000   \n",
       "176580      28        182         85       90         90   69000000    300000   \n",
       "183277      24        173         74       89         91   74000000    240000   \n",
       "41236       33        195         95       89         89   40500000    220000   \n",
       "190871      23        174         68       88         93   71500000    230000   \n",
       "164240      30        183         79       88         88   38000000    200000   \n",
       "168542      29        170         67       88         88   50500000    210000   \n",
       "198710      23        180         75       87         93   62500000    210000   \n",
       "173731      25        183         74       87         91   56000000    200000   \n",
       "182521      25        182         78       87         90   54500000    200000   \n",
       "183907      26        192         90       87         89   45000000    220000   \n",
       "188545      26        185         79       87         89   55000000    230000   \n",
       "176635      26        183         76       87         88   52500000    230000   \n",
       "121939      31        170         66       87         87   29500000    190000   \n",
       "138956      30        186         76       87         87   32500000    190000   \n",
       "153079      27        172         74       87         87   47500000    230000   \n",
       "155862      29        183         75       87         87   34000000    190000   \n",
       "156616      32        170         72       87         87   34000000    190000   \n",
       "162895      28        175         74       87         87   43500000    220000   \n",
       "177003      29        174         65       87         87   41500000    190000   \n",
       "195864      22        188         80       86         92   53000000    180000   \n",
       "192119      23        199         88       86         90   44000000    180000   \n",
       "192985      24        181         76       86         89   50500000    190000   \n",
       "193080      24        193         82       86         89   42500000    180000   \n",
       "165153      27        187         79       86         88   46500000    230000   \n",
       "178603      26        191         92       86         88   39000000    220000   \n",
       "184941      26        169         62       86         88   47000000    230000   \n",
       "...        ...        ...        ...      ...        ...        ...       ...   \n",
       "248360      17        170         69       48         66      60000      1000   \n",
       "233667      20        185         75       48         65      70000      2000   \n",
       "238550      19        178         74       48         65      60000      1000   \n",
       "245408      19        182         78       48         65      50000      1000   \n",
       "248851      18        175         72       48         65      60000      1000   \n",
       "250739      18        178         60       48         65      60000      1000   \n",
       "251269      18        183         66       48         65      60000      1000   \n",
       "252548      18        188         78       48         65      60000      1000   \n",
       "241493      18        185         75       48         64      60000      1000   \n",
       "248188      19        179         72       48         64      60000      1000   \n",
       "240927      18        178         67       48         63      60000      1000   \n",
       "248182      17        185         71       48         63      50000      1000   \n",
       "237599      21        174         62       48         62      60000      1000   \n",
       "238521      19        170         60       48         62      60000      1000   \n",
       "246694      19        182         80       48         61      50000      1000   \n",
       "251124      18        178         69       48         61      50000      1000   \n",
       "240917      21        178         76       48         60      50000      2000   \n",
       "241828      19        170         66       48         60      50000      1000   \n",
       "245029      21        175         70       48         60      50000      2000   \n",
       "247002      19        178         75       48         60      50000      1000   \n",
       "247452      18        178         70       48         60      50000      1000   \n",
       "252181      18        183         74       48         60      40000      1000   \n",
       "252568      21        177         70       48         60      50000      1000   \n",
       "243961      20        180         72       48         59      50000      1000   \n",
       "251789      20        188         84       48         58      40000      1000   \n",
       "245006      22        186         79       48         56      40000      2000   \n",
       "250995      22        177         66       48         56      40000      2000   \n",
       "252332      19        186         75       48         56      40000      1000   \n",
       "251110      18        185         74       48         54      40000      1000   \n",
       "233449      26        182         78       48         51      40000      2000   \n",
       "\n",
       "          player_positions  international_reputation  weak_foot  ...  \\\n",
       "sofifa_id                                                        ...   \n",
       "158023              RW, CF                         5          4  ...   \n",
       "20801               LW, LM                         5          4  ...   \n",
       "9014            RM, LM, RW                         5          2  ...   \n",
       "167495                  GK                         5          4  ...   \n",
       "176580                  ST                         5          4  ...   \n",
       "183277                  LM                         4          4  ...   \n",
       "41236                   ST                         5          4  ...   \n",
       "190871                  LW                         5          5  ...   \n",
       "164240                  CB                         4          3  ...   \n",
       "168542             CAM, LM                         4          2  ...   \n",
       "198710         CAM, CM, RM                         4          3  ...   \n",
       "173731              RM, RW                         4          3  ...   \n",
       "182521             CM, CDM                         4          5  ...   \n",
       "183907                  CB                         4          4  ...   \n",
       "188545                  ST                         4          4  ...   \n",
       "176635             CAM, LW                         4          2  ...   \n",
       "121939         CDM, RB, CM                         4          3  ...   \n",
       "138956                  CB                         4          2  ...   \n",
       "153079                  ST                         4          4  ...   \n",
       "155862                  CB                         4          3  ...   \n",
       "156616                  LM                         4          4  ...   \n",
       "162895             CM, CAM                         4          3  ...   \n",
       "177003             CM, CDM                         4          4  ...   \n",
       "195864                  CM                         4          4  ...   \n",
       "192119                  GK                         3          3  ...   \n",
       "192985         CAM, LM, RM                         3          5  ...   \n",
       "193080                  GK                         3          3  ...   \n",
       "165153                  ST                         4          4  ...   \n",
       "178603                  CB                         4          3  ...   \n",
       "184941              LW, RW                         4          3  ...   \n",
       "...                    ...                       ...        ...  ...   \n",
       "248360              LW, LM                         1          3  ...   \n",
       "233667                  ST                         1          3  ...   \n",
       "238550                  ST                         1          3  ...   \n",
       "245408                  GK                         1          3  ...   \n",
       "248851                  CM                         1          3  ...   \n",
       "250739                  CB                         1          2  ...   \n",
       "251269                  ST                         1          3  ...   \n",
       "252548                  CM                         1          3  ...   \n",
       "241493              CB, RB                         1          2  ...   \n",
       "248188                  LW                         1          3  ...   \n",
       "240927                  CM                         1          3  ...   \n",
       "248182                  GK                         1          2  ...   \n",
       "237599             CDM, CM                         1          2  ...   \n",
       "238521                  ST                         1          3  ...   \n",
       "246694              CB, RB                         1          3  ...   \n",
       "251124                  RB                         1          2  ...   \n",
       "240917                  CM                         1          3  ...   \n",
       "241828             CDM, RB                         1          3  ...   \n",
       "245029                 CAM                         1          3  ...   \n",
       "247002                  CM                         1          2  ...   \n",
       "247452          LM, RM, CM                         1          3  ...   \n",
       "252181                  CB                         1          3  ...   \n",
       "252568                  CM                         1          3  ...   \n",
       "243961                  CM                         1          3  ...   \n",
       "251789                  GK                         1          1  ...   \n",
       "245006                  CB                         1          3  ...   \n",
       "250995                  CB                         1          2  ...   \n",
       "252332                  CM                         1          2  ...   \n",
       "251110                  CM                         1          2  ...   \n",
       "233449                  CM                         1          3  ...   \n",
       "\n",
       "           mentality_composure defending_marking  defending_standing_tackle  \\\n",
       "sofifa_id                                                                     \n",
       "158023                     0.0                25                         25   \n",
       "20801                      0.0                22                         31   \n",
       "9014                       0.0                29                         26   \n",
       "167495                     0.0                25                         25   \n",
       "176580                     0.0                30                         45   \n",
       "183277                     0.0                25                         27   \n",
       "41236                      0.0                25                         41   \n",
       "190871                     0.0                21                         24   \n",
       "164240                     0.0                92                         92   \n",
       "168542                     0.0                23                         30   \n",
       "198710                     0.0                25                         58   \n",
       "173731                     0.0                60                         65   \n",
       "182521                     0.0                60                         76   \n",
       "183907                     0.0                84                         92   \n",
       "188545                     0.0                25                         42   \n",
       "176635                     0.0                22                         25   \n",
       "121939                     0.0                87                         88   \n",
       "138956                     0.0                92                         92   \n",
       "153079                     0.0                25                         20   \n",
       "155862                     0.0                85                         89   \n",
       "156616                     0.0                25                         25   \n",
       "162895                     0.0                62                         66   \n",
       "177003                     0.0                69                         75   \n",
       "195864                     0.0                80                         78   \n",
       "192119                     0.0                25                         25   \n",
       "192985                     0.0                37                         39   \n",
       "193080                     0.0                25                         21   \n",
       "165153                     0.0                25                         25   \n",
       "178603                     0.0                88                         90   \n",
       "184941                     0.0                30                         39   \n",
       "...                        ...               ...                        ...   \n",
       "248360                    49.0                16                         23   \n",
       "233667                    45.0                30                         27   \n",
       "238550                    49.0                18                         16   \n",
       "245408                    25.0                10                         13   \n",
       "248851                    36.0                40                         51   \n",
       "250739                    43.0                46                         51   \n",
       "251269                    49.0                18                         16   \n",
       "252548                    47.0                36                         40   \n",
       "241493                    38.0                49                         50   \n",
       "248188                    43.0                15                         26   \n",
       "240927                    46.0                33                         40   \n",
       "248182                    20.0                 8                         10   \n",
       "237599                    48.0                40                         51   \n",
       "238521                    44.0                18                         12   \n",
       "246694                    43.0                44                         52   \n",
       "251124                    36.0                41                         49   \n",
       "240917                    43.0                53                         41   \n",
       "241828                    39.0                46                         50   \n",
       "245029                    54.0                34                         42   \n",
       "247002                    48.0                37                         41   \n",
       "247452                    41.0                30                         35   \n",
       "252181                    43.0                40                         48   \n",
       "252568                    42.0                36                         37   \n",
       "243961                    43.0                39                         39   \n",
       "251789                    34.0                 6                         12   \n",
       "245006                    41.0                45                         50   \n",
       "250995                    35.0                42                         53   \n",
       "252332                    39.0                46                         52   \n",
       "251110                    40.0                39                         44   \n",
       "233449                    42.0                52                         42   \n",
       "\n",
       "           defending_sliding_tackle  goalkeeping_diving  goalkeeping_handling  \\\n",
       "sofifa_id                                                                       \n",
       "158023                           22                   6                    11   \n",
       "20801                            23                   7                    11   \n",
       "9014                             26                  10                     8   \n",
       "167495                           25                  88                    89   \n",
       "176580                           38                  27                    25   \n",
       "183277                           22                  11                    12   \n",
       "41236                            27                  13                    15   \n",
       "190871                           33                   9                     9   \n",
       "164240                           90                   9                    12   \n",
       "168542                           29                   1                     1   \n",
       "198710                           30                  15                    15   \n",
       "173731                           62                  15                    15   \n",
       "182521                           59                  10                    11   \n",
       "183907                           92                   7                    12   \n",
       "188545                           25                  15                     6   \n",
       "176635                           25                   6                    14   \n",
       "121939                           95                  11                    12   \n",
       "138956                           95                   3                     3   \n",
       "153079                           25                  13                    15   \n",
       "155862                           90                  11                     8   \n",
       "156616                           26                  15                     6   \n",
       "162895                           62                   6                    10   \n",
       "177003                           73                  13                     9   \n",
       "195864                           85                   5                     6   \n",
       "192119                           25                  84                    87   \n",
       "192985                           40                  15                    13   \n",
       "193080                           25                  88                    81   \n",
       "165153                           25                  13                    11   \n",
       "178603                           86                  15                     6   \n",
       "184941                           35                  10                    10   \n",
       "...                             ...                 ...                   ...   \n",
       "248360                           24                   8                     7   \n",
       "233667                           26                  14                    12   \n",
       "238550                           11                   6                     9   \n",
       "245408                           12                  44                    46   \n",
       "248851                           45                   9                     7   \n",
       "250739                           47                   6                     9   \n",
       "251269                           17                   7                     7   \n",
       "252548                           41                   9                    10   \n",
       "241493                           44                   9                     9   \n",
       "248188                           27                  11                    12   \n",
       "240927                           41                   5                    12   \n",
       "248182                           10                  50                    49   \n",
       "237599                           47                  15                     6   \n",
       "238521                           18                   6                     6   \n",
       "246694                           54                  10                     7   \n",
       "251124                           56                  13                    13   \n",
       "240917                           51                  15                     7   \n",
       "241828                           45                   8                     9   \n",
       "245029                           46                  11                    15   \n",
       "247002                           42                   7                     5   \n",
       "247452                           32                   7                     9   \n",
       "252181                           49                   8                    12   \n",
       "252568                           42                  10                    13   \n",
       "243961                           48                   6                    11   \n",
       "251789                           11                  54                    51   \n",
       "245006                           52                   5                     5   \n",
       "250995                           57                  13                     6   \n",
       "252332                           46                   7                     8   \n",
       "251110                           54                  14                     9   \n",
       "233449                           48                   8                    12   \n",
       "\n",
       "           goalkeeping_kicking  goalkeeping_positioning  goalkeeping_reflexes  \\\n",
       "sofifa_id                                                                       \n",
       "158023                      15                       14                     8   \n",
       "20801                       15                       14                    11   \n",
       "9014                        11                        5                    15   \n",
       "167495                      91                       90                    86   \n",
       "176580                      31                       33                    37   \n",
       "183277                       6                        8                     8   \n",
       "41236                       10                        9                    12   \n",
       "190871                      15                       15                    11   \n",
       "164240                       5                        9                    10   \n",
       "168542                       1                        1                     1   \n",
       "198710                      15                        5                    14   \n",
       "173731                      11                        5                     6   \n",
       "182521                      13                        7                    10   \n",
       "183907                      15                        6                     5   \n",
       "188545                      12                        8                    10   \n",
       "176635                      10                        6                    14   \n",
       "121939                       5                       14                     5   \n",
       "138956                       2                        4                     3   \n",
       "153079                       6                       11                    14   \n",
       "155862                       9                        7                    11   \n",
       "156616                       9                        7                    10   \n",
       "162895                       8                       15                    15   \n",
       "177003                       7                       14                     9   \n",
       "195864                       2                        4                     3   \n",
       "192119                      69                       86                    88   \n",
       "192985                       5                       10                    13   \n",
       "193080                      86                       85                    89   \n",
       "165153                       5                        5                     7   \n",
       "178603                      10                        5                     6   \n",
       "184941                      15                       12                    13   \n",
       "...                        ...                      ...                   ...   \n",
       "248360                      12                        7                    14   \n",
       "233667                      11                        5                     9   \n",
       "238550                      11                        7                    12   \n",
       "245408                      45                       48                    51   \n",
       "248851                      13                       15                     6   \n",
       "250739                      10                       11                     7   \n",
       "251269                      13                       13                     9   \n",
       "252548                       8                       15                     6   \n",
       "241493                       7                        7                    13   \n",
       "248188                      11                        9                     8   \n",
       "240927                       8                       13                    10   \n",
       "248182                      48                       47                    51   \n",
       "237599                       5                       12                     5   \n",
       "238521                      10                        6                     6   \n",
       "246694                      12                       10                    13   \n",
       "251124                      10                       13                    10   \n",
       "240917                      14                        6                     8   \n",
       "241828                       8                       10                     7   \n",
       "245029                      10                       11                    14   \n",
       "247002                      13                       14                    10   \n",
       "247452                       9                       13                    10   \n",
       "252181                      13                        7                     5   \n",
       "252568                      13                       11                    11   \n",
       "243961                       9                        5                     8   \n",
       "251789                      46                       43                    45   \n",
       "245006                      13                        5                    14   \n",
       "250995                      14                       11                     9   \n",
       "252332                      10                        6                    14   \n",
       "251110                      13                       13                    13   \n",
       "233449                      14                        9                    10   \n",
       "\n",
       "           year  \n",
       "sofifa_id        \n",
       "158023     2016  \n",
       "20801      2016  \n",
       "9014       2016  \n",
       "167495     2016  \n",
       "176580     2016  \n",
       "183277     2016  \n",
       "41236      2016  \n",
       "190871     2016  \n",
       "164240     2016  \n",
       "168542     2016  \n",
       "198710     2016  \n",
       "173731     2016  \n",
       "182521     2016  \n",
       "183907     2016  \n",
       "188545     2016  \n",
       "176635     2016  \n",
       "121939     2016  \n",
       "138956     2016  \n",
       "153079     2016  \n",
       "155862     2016  \n",
       "156616     2016  \n",
       "162895     2016  \n",
       "177003     2016  \n",
       "195864     2016  \n",
       "192119     2016  \n",
       "192985     2016  \n",
       "193080     2016  \n",
       "165153     2016  \n",
       "178603     2016  \n",
       "184941     2016  \n",
       "...         ...  \n",
       "248360     2020  \n",
       "233667     2020  \n",
       "238550     2020  \n",
       "245408     2020  \n",
       "248851     2020  \n",
       "250739     2020  \n",
       "251269     2020  \n",
       "252548     2020  \n",
       "241493     2020  \n",
       "248188     2020  \n",
       "240927     2020  \n",
       "248182     2020  \n",
       "237599     2020  \n",
       "238521     2020  \n",
       "246694     2020  \n",
       "251124     2020  \n",
       "240917     2020  \n",
       "241828     2020  \n",
       "245029     2020  \n",
       "247002     2020  \n",
       "247452     2020  \n",
       "252181     2020  \n",
       "252568     2020  \n",
       "243961     2020  \n",
       "251789     2020  \n",
       "245006     2020  \n",
       "250995     2020  \n",
       "252332     2020  \n",
       "251110     2020  \n",
       "233449     2020  \n",
       "\n",
       "[85530 rows x 59 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# # Read data\n",
    "df = pd.read_csv('cleaned_csv') #From Louis Combine\n",
    "df = df.set_index('sofifa_id')\n",
    "#Drop for anylsis only\n",
    "#later should be use sofifa_id to merge together\n",
    "drop_col = ['player_url','long_name', 'short_name', 'dob', 'real_face', 'release_clause_eur', 'team_position',\n",
    "           'player_tags', 'team_jersey_number', 'loaned_from', 'joined', 'contract_valid_until', 'nation_position',\n",
    "           'nation_jersey_number', 'player_traits']\n",
    "df = df.drop(columns = drop_col)\n",
    "#drop for ls\tst\trs\tlw\tlf\tcf\trf\trw\tlam\tcam\tram\tlm\tlcm\tcm\trcm\trm\tlwb\tldm\tcdm\trdm\trwb\tlb\tlcb\tcb\trcb\trb\n",
    "exclude_col = df.columns[62:-1]\n",
    "print(exclude_col)\n",
    "df = df.drop(columns = exclude_col)\n",
    "#Assumption: nationality, club, preferred_foot and body_type would not affect the potential score\n",
    "df = df.drop(columns = ['nationality', 'club', 'preferred_foot', 'body_type'])\n",
    "display(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Position\n",
    "def postition_grouping(value) -> Text:\n",
    "    forward = ['ls', 'st', 'rs', 'lw', 'lf', 'cf', 'rf', 'rw']\n",
    "    mid = ['lam', 'cam', 'ram', 'lm', 'lcm', 'cm', 'rcm', 'rm', 'ldm', 'cdm', 'rdm']\n",
    "    back = ['lwb', 'rwb', 'lb', 'lcb', 'cb', 'rcb', 'rb']\n",
    "    keeper = ['gk']\n",
    "    \n",
    "    position_dict = {}\n",
    "    position_dict['forward'] = forward\n",
    "    position_dict['mid'] = mid\n",
    "    position_dict['back'] = back\n",
    "    position_dict['keeper'] = keeper\n",
    "    \n",
    "    value_list = value.replace(' ','').split(',')\n",
    "    \n",
    "    for v in value_list:\n",
    "        for position, items in position_dict.items():\n",
    "            if v.lower() in items:\n",
    "                return (position)\n",
    "    print('Error')\n",
    "df['position'] = df['player_positions'].apply(lambda x: postition_grouping(x))\n",
    "df = df.drop(columns = 'player_positions')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "#work_rate ranking \n",
    "def work_rate_convert(value):\n",
    "    value = value.split('/')\n",
    "    prefix = value[0]\n",
    "    suffix = value[1]\n",
    "    \n",
    "    group = {}\n",
    "    group['Low'] = 0\n",
    "    group['Medium'] = 3\n",
    "    group['High'] = 6\n",
    "    \n",
    "    level = {}\n",
    "    level['Low'] = 0\n",
    "    level['Medium'] = 1\n",
    "    level['High'] = 2\n",
    "    \n",
    "    group_score = group[prefix]\n",
    "    level_score = level[suffix]\n",
    "    rank = group_score + level_score\n",
    "    return rank\n",
    "df['work_rate_rank'] = df['work_rate'].apply(lambda x:work_rate_convert(x))\n",
    "#pd.unique(df['work_rate'])\n",
    "df = df.drop(columns = ['work_rate'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Separate for different position analysis\n",
    "df_dict = {}\n",
    "df_dict['overall'] = df.copy()\n",
    "df_dict['forward'] = df[df['position'] == 'forward']\n",
    "df_dict['mid'] = df[df['position'] == 'mid']\n",
    "df_dict['back'] = df[df['position'] == 'back']\n",
    "df_dict['keeper'] = df[df['position'] == 'keeper']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 595,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Set up the y\n",
    "overall_df = df_dict['overall']\n",
    "player_id_list = list(pd.unique(overall_df.index))\n",
    "player_id_list.sort(reverse = True)\n",
    "\n",
    "new_df = pd.DataFrame()\n",
    "n = 0\n",
    "for player_id in player_id_list:\n",
    "    #Filter len > 1\n",
    "    group_df = overall_df[overall_df.index == player_id]\n",
    "    if len(group_df) <= 1:\n",
    "        n += 1 #no.of player filter out\n",
    "        continue\n",
    "    #Order by year\n",
    "    group_df = group_df.sort_values('year', ascending = True)\n",
    "    group_df = group_df.reset_index()\n",
    "    #Lag 1 df\n",
    "    lag_1_df = group_df.shift(-1)[['value_eur', 'overall']]\n",
    "    lag_1_df = lag_1_df.rename(columns = {'value_eur': 'y_value_eur', 'overall': 'y_overall'})\n",
    "    combine_df = group_df.join(lag_1_df)\n",
    "    combine_df = combine_df.iloc[0:-1] #Delete the 2020 data\n",
    "    combine_df = combine_df.set_index('sofifa_id')\n",
    "    new_df = new_df.append(combine_df)\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 596,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "#Position to be categories\n",
    "def position_convert(value):\n",
    "    if value == 'forward':\n",
    "        return 0\n",
    "    elif value == 'mid':\n",
    "        return 1\n",
    "    elif value == 'back':\n",
    "        return 2\n",
    "    elif value == 'keeper':\n",
    "        return 3\n",
    "\n",
    "#new_df.to_csv('pre_model_df.csv')\n",
    "new_df['position'] = new_df['position'].apply(lambda x:position_convert(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 597,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>age</th>\n",
       "      <th>height_cm</th>\n",
       "      <th>weight_kg</th>\n",
       "      <th>overall</th>\n",
       "      <th>potential</th>\n",
       "      <th>value_eur</th>\n",
       "      <th>wage_eur</th>\n",
       "      <th>international_reputation</th>\n",
       "      <th>weak_foot</th>\n",
       "      <th>skill_moves</th>\n",
       "      <th>pace</th>\n",
       "      <th>shooting</th>\n",
       "      <th>passing</th>\n",
       "      <th>dribbling</th>\n",
       "      <th>defending</th>\n",
       "      <th>physic</th>\n",
       "      <th>gk_diving</th>\n",
       "      <th>gk_handling</th>\n",
       "      <th>gk_kicking</th>\n",
       "      <th>gk_reflexes</th>\n",
       "      <th>gk_speed</th>\n",
       "      <th>gk_positioning</th>\n",
       "      <th>attacking_crossing</th>\n",
       "      <th>attacking_finishing</th>\n",
       "      <th>attacking_heading_accuracy</th>\n",
       "      <th>attacking_short_passing</th>\n",
       "      <th>attacking_volleys</th>\n",
       "      <th>skill_dribbling</th>\n",
       "      <th>skill_curve</th>\n",
       "      <th>skill_fk_accuracy</th>\n",
       "      <th>skill_long_passing</th>\n",
       "      <th>skill_ball_control</th>\n",
       "      <th>movement_acceleration</th>\n",
       "      <th>movement_sprint_speed</th>\n",
       "      <th>movement_agility</th>\n",
       "      <th>movement_reactions</th>\n",
       "      <th>movement_balance</th>\n",
       "      <th>power_shot_power</th>\n",
       "      <th>power_jumping</th>\n",
       "      <th>power_stamina</th>\n",
       "      <th>power_strength</th>\n",
       "      <th>power_long_shots</th>\n",
       "      <th>mentality_aggression</th>\n",
       "      <th>mentality_interceptions</th>\n",
       "      <th>mentality_positioning</th>\n",
       "      <th>mentality_vision</th>\n",
       "      <th>mentality_penalties</th>\n",
       "      <th>mentality_composure</th>\n",
       "      <th>defending_marking</th>\n",
       "      <th>defending_standing_tackle</th>\n",
       "      <th>defending_sliding_tackle</th>\n",
       "      <th>goalkeeping_diving</th>\n",
       "      <th>goalkeeping_handling</th>\n",
       "      <th>goalkeeping_kicking</th>\n",
       "      <th>goalkeeping_positioning</th>\n",
       "      <th>goalkeeping_reflexes</th>\n",
       "      <th>year</th>\n",
       "      <th>position</th>\n",
       "      <th>work_rate_rank</th>\n",
       "      <th>y_value_eur</th>\n",
       "      <th>y_overall</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sofifa_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>246063</th>\n",
       "      <td>18</td>\n",
       "      <td>185</td>\n",
       "      <td>75</td>\n",
       "      <td>54</td>\n",
       "      <td>68</td>\n",
       "      <td>130000</td>\n",
       "      <td>1000</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>64.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>43</td>\n",
       "      <td>30</td>\n",
       "      <td>53</td>\n",
       "      <td>52</td>\n",
       "      <td>43</td>\n",
       "      <td>49</td>\n",
       "      <td>45</td>\n",
       "      <td>34</td>\n",
       "      <td>55</td>\n",
       "      <td>53</td>\n",
       "      <td>60</td>\n",
       "      <td>67</td>\n",
       "      <td>60</td>\n",
       "      <td>53</td>\n",
       "      <td>59</td>\n",
       "      <td>56</td>\n",
       "      <td>59</td>\n",
       "      <td>52</td>\n",
       "      <td>66</td>\n",
       "      <td>32</td>\n",
       "      <td>56</td>\n",
       "      <td>45</td>\n",
       "      <td>34</td>\n",
       "      <td>46</td>\n",
       "      <td>44</td>\n",
       "      <td>43.0</td>\n",
       "      <td>48</td>\n",
       "      <td>59</td>\n",
       "      <td>58</td>\n",
       "      <td>14</td>\n",
       "      <td>8</td>\n",
       "      <td>14</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>170000.0</td>\n",
       "      <td>55.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246057</th>\n",
       "      <td>21</td>\n",
       "      <td>178</td>\n",
       "      <td>70</td>\n",
       "      <td>65</td>\n",
       "      <td>74</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>71.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>62</td>\n",
       "      <td>56</td>\n",
       "      <td>62</td>\n",
       "      <td>69</td>\n",
       "      <td>48</td>\n",
       "      <td>58</td>\n",
       "      <td>32</td>\n",
       "      <td>54</td>\n",
       "      <td>67</td>\n",
       "      <td>56</td>\n",
       "      <td>70</td>\n",
       "      <td>71</td>\n",
       "      <td>74</td>\n",
       "      <td>66</td>\n",
       "      <td>72</td>\n",
       "      <td>64</td>\n",
       "      <td>66</td>\n",
       "      <td>69</td>\n",
       "      <td>58</td>\n",
       "      <td>62</td>\n",
       "      <td>67</td>\n",
       "      <td>65</td>\n",
       "      <td>52</td>\n",
       "      <td>55</td>\n",
       "      <td>49</td>\n",
       "      <td>57.0</td>\n",
       "      <td>64</td>\n",
       "      <td>63</td>\n",
       "      <td>59</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>9</td>\n",
       "      <td>14</td>\n",
       "      <td>13</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>775000.0</td>\n",
       "      <td>65.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246051</th>\n",
       "      <td>17</td>\n",
       "      <td>182</td>\n",
       "      <td>73</td>\n",
       "      <td>49</td>\n",
       "      <td>61</td>\n",
       "      <td>50000</td>\n",
       "      <td>1000</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>73.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>41</td>\n",
       "      <td>42</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>48</td>\n",
       "      <td>42</td>\n",
       "      <td>36</td>\n",
       "      <td>42</td>\n",
       "      <td>50</td>\n",
       "      <td>75</td>\n",
       "      <td>72</td>\n",
       "      <td>52</td>\n",
       "      <td>42</td>\n",
       "      <td>58</td>\n",
       "      <td>40</td>\n",
       "      <td>48</td>\n",
       "      <td>45</td>\n",
       "      <td>50</td>\n",
       "      <td>38</td>\n",
       "      <td>40</td>\n",
       "      <td>36</td>\n",
       "      <td>41</td>\n",
       "      <td>55</td>\n",
       "      <td>35</td>\n",
       "      <td>49.0</td>\n",
       "      <td>30</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>10</td>\n",
       "      <td>8</td>\n",
       "      <td>14</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>50000.0</td>\n",
       "      <td>49.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246049</th>\n",
       "      <td>20</td>\n",
       "      <td>172</td>\n",
       "      <td>70</td>\n",
       "      <td>61</td>\n",
       "      <td>73</td>\n",
       "      <td>450000</td>\n",
       "      <td>3000</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>68.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>30</td>\n",
       "      <td>65</td>\n",
       "      <td>59</td>\n",
       "      <td>53</td>\n",
       "      <td>49</td>\n",
       "      <td>55</td>\n",
       "      <td>30</td>\n",
       "      <td>34</td>\n",
       "      <td>45</td>\n",
       "      <td>55</td>\n",
       "      <td>69</td>\n",
       "      <td>68</td>\n",
       "      <td>54</td>\n",
       "      <td>60</td>\n",
       "      <td>79</td>\n",
       "      <td>60</td>\n",
       "      <td>65</td>\n",
       "      <td>70</td>\n",
       "      <td>59</td>\n",
       "      <td>53</td>\n",
       "      <td>31</td>\n",
       "      <td>19</td>\n",
       "      <td>59</td>\n",
       "      <td>41</td>\n",
       "      <td>55</td>\n",
       "      <td>58.0</td>\n",
       "      <td>11</td>\n",
       "      <td>12</td>\n",
       "      <td>17</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>12</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>2019</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>825000.0</td>\n",
       "      <td>64.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246048</th>\n",
       "      <td>18</td>\n",
       "      <td>177</td>\n",
       "      <td>75</td>\n",
       "      <td>54</td>\n",
       "      <td>70</td>\n",
       "      <td>130000</td>\n",
       "      <td>1000</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>61.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>24</td>\n",
       "      <td>23</td>\n",
       "      <td>48</td>\n",
       "      <td>34</td>\n",
       "      <td>29</td>\n",
       "      <td>21</td>\n",
       "      <td>31</td>\n",
       "      <td>29</td>\n",
       "      <td>28</td>\n",
       "      <td>38</td>\n",
       "      <td>62</td>\n",
       "      <td>61</td>\n",
       "      <td>51</td>\n",
       "      <td>45</td>\n",
       "      <td>69</td>\n",
       "      <td>40</td>\n",
       "      <td>76</td>\n",
       "      <td>68</td>\n",
       "      <td>61</td>\n",
       "      <td>33</td>\n",
       "      <td>49</td>\n",
       "      <td>58</td>\n",
       "      <td>28</td>\n",
       "      <td>29</td>\n",
       "      <td>36</td>\n",
       "      <td>43.0</td>\n",
       "      <td>50</td>\n",
       "      <td>57</td>\n",
       "      <td>52</td>\n",
       "      <td>12</td>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "      <td>15</td>\n",
       "      <td>8</td>\n",
       "      <td>2019</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>750000.0</td>\n",
       "      <td>63.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246045</th>\n",
       "      <td>17</td>\n",
       "      <td>177</td>\n",
       "      <td>70</td>\n",
       "      <td>61</td>\n",
       "      <td>78</td>\n",
       "      <td>500000</td>\n",
       "      <td>2000</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>72.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>60</td>\n",
       "      <td>63</td>\n",
       "      <td>43</td>\n",
       "      <td>62</td>\n",
       "      <td>50</td>\n",
       "      <td>60</td>\n",
       "      <td>51</td>\n",
       "      <td>42</td>\n",
       "      <td>51</td>\n",
       "      <td>62</td>\n",
       "      <td>74</td>\n",
       "      <td>70</td>\n",
       "      <td>63</td>\n",
       "      <td>55</td>\n",
       "      <td>68</td>\n",
       "      <td>64</td>\n",
       "      <td>53</td>\n",
       "      <td>58</td>\n",
       "      <td>47</td>\n",
       "      <td>52</td>\n",
       "      <td>31</td>\n",
       "      <td>18</td>\n",
       "      <td>61</td>\n",
       "      <td>53</td>\n",
       "      <td>47</td>\n",
       "      <td>59.0</td>\n",
       "      <td>26</td>\n",
       "      <td>29</td>\n",
       "      <td>31</td>\n",
       "      <td>8</td>\n",
       "      <td>9</td>\n",
       "      <td>15</td>\n",
       "      <td>8</td>\n",
       "      <td>9</td>\n",
       "      <td>2019</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>3700000.0</td>\n",
       "      <td>70.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246044</th>\n",
       "      <td>18</td>\n",
       "      <td>180</td>\n",
       "      <td>75</td>\n",
       "      <td>62</td>\n",
       "      <td>78</td>\n",
       "      <td>625000</td>\n",
       "      <td>1000</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>65.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>51</td>\n",
       "      <td>63</td>\n",
       "      <td>59</td>\n",
       "      <td>58</td>\n",
       "      <td>56</td>\n",
       "      <td>63</td>\n",
       "      <td>55</td>\n",
       "      <td>43</td>\n",
       "      <td>52</td>\n",
       "      <td>62</td>\n",
       "      <td>66</td>\n",
       "      <td>64</td>\n",
       "      <td>60</td>\n",
       "      <td>59</td>\n",
       "      <td>66</td>\n",
       "      <td>59</td>\n",
       "      <td>61</td>\n",
       "      <td>33</td>\n",
       "      <td>54</td>\n",
       "      <td>62</td>\n",
       "      <td>49</td>\n",
       "      <td>23</td>\n",
       "      <td>61</td>\n",
       "      <td>53</td>\n",
       "      <td>61</td>\n",
       "      <td>59.0</td>\n",
       "      <td>21</td>\n",
       "      <td>25</td>\n",
       "      <td>22</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>8</td>\n",
       "      <td>12</td>\n",
       "      <td>8</td>\n",
       "      <td>2019</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>1600000.0</td>\n",
       "      <td>67.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246033</th>\n",
       "      <td>19</td>\n",
       "      <td>179</td>\n",
       "      <td>78</td>\n",
       "      <td>56</td>\n",
       "      <td>71</td>\n",
       "      <td>180000</td>\n",
       "      <td>1000</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>56.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>42</td>\n",
       "      <td>38</td>\n",
       "      <td>52</td>\n",
       "      <td>64</td>\n",
       "      <td>34</td>\n",
       "      <td>59</td>\n",
       "      <td>39</td>\n",
       "      <td>40</td>\n",
       "      <td>61</td>\n",
       "      <td>56</td>\n",
       "      <td>58</td>\n",
       "      <td>55</td>\n",
       "      <td>55</td>\n",
       "      <td>51</td>\n",
       "      <td>64</td>\n",
       "      <td>53</td>\n",
       "      <td>58</td>\n",
       "      <td>49</td>\n",
       "      <td>60</td>\n",
       "      <td>37</td>\n",
       "      <td>60</td>\n",
       "      <td>50</td>\n",
       "      <td>32</td>\n",
       "      <td>54</td>\n",
       "      <td>47</td>\n",
       "      <td>49.0</td>\n",
       "      <td>52</td>\n",
       "      <td>51</td>\n",
       "      <td>59</td>\n",
       "      <td>6</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>1600000.0</td>\n",
       "      <td>67.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246032</th>\n",
       "      <td>21</td>\n",
       "      <td>192</td>\n",
       "      <td>85</td>\n",
       "      <td>58</td>\n",
       "      <td>65</td>\n",
       "      <td>130000</td>\n",
       "      <td>1000</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>10</td>\n",
       "      <td>8</td>\n",
       "      <td>11</td>\n",
       "      <td>28</td>\n",
       "      <td>9</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>11</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>30</td>\n",
       "      <td>23</td>\n",
       "      <td>33</td>\n",
       "      <td>51</td>\n",
       "      <td>24</td>\n",
       "      <td>15</td>\n",
       "      <td>34</td>\n",
       "      <td>27</td>\n",
       "      <td>60</td>\n",
       "      <td>7</td>\n",
       "      <td>28</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>36</td>\n",
       "      <td>18</td>\n",
       "      <td>23.0</td>\n",
       "      <td>5</td>\n",
       "      <td>14</td>\n",
       "      <td>10</td>\n",
       "      <td>52</td>\n",
       "      <td>57</td>\n",
       "      <td>59</td>\n",
       "      <td>54</td>\n",
       "      <td>67</td>\n",
       "      <td>2019</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>140000.0</td>\n",
       "      <td>58.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246020</th>\n",
       "      <td>17</td>\n",
       "      <td>181</td>\n",
       "      <td>77</td>\n",
       "      <td>50</td>\n",
       "      <td>68</td>\n",
       "      <td>60000</td>\n",
       "      <td>1000</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>79.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>31</td>\n",
       "      <td>52</td>\n",
       "      <td>40</td>\n",
       "      <td>34</td>\n",
       "      <td>36</td>\n",
       "      <td>51</td>\n",
       "      <td>31</td>\n",
       "      <td>26</td>\n",
       "      <td>30</td>\n",
       "      <td>48</td>\n",
       "      <td>82</td>\n",
       "      <td>77</td>\n",
       "      <td>54</td>\n",
       "      <td>39</td>\n",
       "      <td>61</td>\n",
       "      <td>46</td>\n",
       "      <td>57</td>\n",
       "      <td>48</td>\n",
       "      <td>48</td>\n",
       "      <td>44</td>\n",
       "      <td>25</td>\n",
       "      <td>18</td>\n",
       "      <td>47</td>\n",
       "      <td>41</td>\n",
       "      <td>54</td>\n",
       "      <td>35.0</td>\n",
       "      <td>19</td>\n",
       "      <td>17</td>\n",
       "      <td>18</td>\n",
       "      <td>10</td>\n",
       "      <td>9</td>\n",
       "      <td>14</td>\n",
       "      <td>13</td>\n",
       "      <td>11</td>\n",
       "      <td>2019</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>170000.0</td>\n",
       "      <td>55.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246015</th>\n",
       "      <td>23</td>\n",
       "      <td>184</td>\n",
       "      <td>79</td>\n",
       "      <td>67</td>\n",
       "      <td>73</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>77.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>68</td>\n",
       "      <td>34</td>\n",
       "      <td>64</td>\n",
       "      <td>68</td>\n",
       "      <td>19</td>\n",
       "      <td>56</td>\n",
       "      <td>41</td>\n",
       "      <td>50</td>\n",
       "      <td>63</td>\n",
       "      <td>48</td>\n",
       "      <td>75</td>\n",
       "      <td>78</td>\n",
       "      <td>58</td>\n",
       "      <td>60</td>\n",
       "      <td>56</td>\n",
       "      <td>59</td>\n",
       "      <td>62</td>\n",
       "      <td>68</td>\n",
       "      <td>73</td>\n",
       "      <td>42</td>\n",
       "      <td>66</td>\n",
       "      <td>63</td>\n",
       "      <td>40</td>\n",
       "      <td>39</td>\n",
       "      <td>65</td>\n",
       "      <td>52.0</td>\n",
       "      <td>66</td>\n",
       "      <td>68</td>\n",
       "      <td>67</td>\n",
       "      <td>12</td>\n",
       "      <td>14</td>\n",
       "      <td>9</td>\n",
       "      <td>8</td>\n",
       "      <td>12</td>\n",
       "      <td>2019</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>875000.0</td>\n",
       "      <td>67.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246014</th>\n",
       "      <td>18</td>\n",
       "      <td>176</td>\n",
       "      <td>67</td>\n",
       "      <td>65</td>\n",
       "      <td>77</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>75.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>62</td>\n",
       "      <td>39</td>\n",
       "      <td>60</td>\n",
       "      <td>65</td>\n",
       "      <td>49</td>\n",
       "      <td>56</td>\n",
       "      <td>58</td>\n",
       "      <td>51</td>\n",
       "      <td>63</td>\n",
       "      <td>45</td>\n",
       "      <td>73</td>\n",
       "      <td>76</td>\n",
       "      <td>69</td>\n",
       "      <td>61</td>\n",
       "      <td>75</td>\n",
       "      <td>54</td>\n",
       "      <td>61</td>\n",
       "      <td>68</td>\n",
       "      <td>63</td>\n",
       "      <td>33</td>\n",
       "      <td>68</td>\n",
       "      <td>58</td>\n",
       "      <td>44</td>\n",
       "      <td>46</td>\n",
       "      <td>54</td>\n",
       "      <td>54.0</td>\n",
       "      <td>65</td>\n",
       "      <td>69</td>\n",
       "      <td>67</td>\n",
       "      <td>6</td>\n",
       "      <td>12</td>\n",
       "      <td>8</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>2019</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>475000.0</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246012</th>\n",
       "      <td>19</td>\n",
       "      <td>177</td>\n",
       "      <td>67</td>\n",
       "      <td>57</td>\n",
       "      <td>73</td>\n",
       "      <td>180000</td>\n",
       "      <td>1000</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>14</td>\n",
       "      <td>7</td>\n",
       "      <td>11</td>\n",
       "      <td>18</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "      <td>11</td>\n",
       "      <td>10</td>\n",
       "      <td>28</td>\n",
       "      <td>16</td>\n",
       "      <td>33</td>\n",
       "      <td>34</td>\n",
       "      <td>37</td>\n",
       "      <td>30</td>\n",
       "      <td>51</td>\n",
       "      <td>15</td>\n",
       "      <td>62</td>\n",
       "      <td>22</td>\n",
       "      <td>34</td>\n",
       "      <td>9</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>4</td>\n",
       "      <td>22</td>\n",
       "      <td>12</td>\n",
       "      <td>39.0</td>\n",
       "      <td>7</td>\n",
       "      <td>11</td>\n",
       "      <td>10</td>\n",
       "      <td>55</td>\n",
       "      <td>61</td>\n",
       "      <td>63</td>\n",
       "      <td>57</td>\n",
       "      <td>63</td>\n",
       "      <td>2019</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>190000.0</td>\n",
       "      <td>57.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246011</th>\n",
       "      <td>21</td>\n",
       "      <td>180</td>\n",
       "      <td>77</td>\n",
       "      <td>64</td>\n",
       "      <td>77</td>\n",
       "      <td>875000</td>\n",
       "      <td>2000</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>74.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>55</td>\n",
       "      <td>66</td>\n",
       "      <td>61</td>\n",
       "      <td>67</td>\n",
       "      <td>48</td>\n",
       "      <td>49</td>\n",
       "      <td>60</td>\n",
       "      <td>65</td>\n",
       "      <td>72</td>\n",
       "      <td>75</td>\n",
       "      <td>61</td>\n",
       "      <td>51</td>\n",
       "      <td>66</td>\n",
       "      <td>64</td>\n",
       "      <td>60</td>\n",
       "      <td>70</td>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "      <td>45</td>\n",
       "      <td>45</td>\n",
       "      <td>60</td>\n",
       "      <td>48</td>\n",
       "      <td>62</td>\n",
       "      <td>57.0</td>\n",
       "      <td>40</td>\n",
       "      <td>59</td>\n",
       "      <td>45</td>\n",
       "      <td>11</td>\n",
       "      <td>6</td>\n",
       "      <td>12</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>2019</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>1100000.0</td>\n",
       "      <td>66.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246010</th>\n",
       "      <td>22</td>\n",
       "      <td>184</td>\n",
       "      <td>78</td>\n",
       "      <td>67</td>\n",
       "      <td>77</td>\n",
       "      <td>950000</td>\n",
       "      <td>2000</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>21</td>\n",
       "      <td>10</td>\n",
       "      <td>26</td>\n",
       "      <td>30</td>\n",
       "      <td>11</td>\n",
       "      <td>14</td>\n",
       "      <td>25</td>\n",
       "      <td>24</td>\n",
       "      <td>32</td>\n",
       "      <td>18</td>\n",
       "      <td>45</td>\n",
       "      <td>44</td>\n",
       "      <td>61</td>\n",
       "      <td>60</td>\n",
       "      <td>50</td>\n",
       "      <td>25</td>\n",
       "      <td>60</td>\n",
       "      <td>37</td>\n",
       "      <td>65</td>\n",
       "      <td>27</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>14</td>\n",
       "      <td>35</td>\n",
       "      <td>24</td>\n",
       "      <td>36.0</td>\n",
       "      <td>11</td>\n",
       "      <td>12</td>\n",
       "      <td>11</td>\n",
       "      <td>66</td>\n",
       "      <td>69</td>\n",
       "      <td>60</td>\n",
       "      <td>66</td>\n",
       "      <td>68</td>\n",
       "      <td>2019</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>725000.0</td>\n",
       "      <td>66.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246005</th>\n",
       "      <td>17</td>\n",
       "      <td>178</td>\n",
       "      <td>68</td>\n",
       "      <td>53</td>\n",
       "      <td>69</td>\n",
       "      <td>100000</td>\n",
       "      <td>1000</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>72.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>52</td>\n",
       "      <td>27</td>\n",
       "      <td>39</td>\n",
       "      <td>51</td>\n",
       "      <td>28</td>\n",
       "      <td>54</td>\n",
       "      <td>26</td>\n",
       "      <td>30</td>\n",
       "      <td>44</td>\n",
       "      <td>38</td>\n",
       "      <td>73</td>\n",
       "      <td>71</td>\n",
       "      <td>58</td>\n",
       "      <td>43</td>\n",
       "      <td>69</td>\n",
       "      <td>29</td>\n",
       "      <td>62</td>\n",
       "      <td>56</td>\n",
       "      <td>49</td>\n",
       "      <td>29</td>\n",
       "      <td>52</td>\n",
       "      <td>54</td>\n",
       "      <td>53</td>\n",
       "      <td>38</td>\n",
       "      <td>31</td>\n",
       "      <td>41.0</td>\n",
       "      <td>55</td>\n",
       "      <td>56</td>\n",
       "      <td>45</td>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>10</td>\n",
       "      <td>2019</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>130000.0</td>\n",
       "      <td>54.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245999</th>\n",
       "      <td>17</td>\n",
       "      <td>176</td>\n",
       "      <td>64</td>\n",
       "      <td>59</td>\n",
       "      <td>79</td>\n",
       "      <td>300000</td>\n",
       "      <td>4000</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>73.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>52</td>\n",
       "      <td>54</td>\n",
       "      <td>42</td>\n",
       "      <td>55</td>\n",
       "      <td>47</td>\n",
       "      <td>62</td>\n",
       "      <td>57</td>\n",
       "      <td>46</td>\n",
       "      <td>49</td>\n",
       "      <td>58</td>\n",
       "      <td>74</td>\n",
       "      <td>72</td>\n",
       "      <td>72</td>\n",
       "      <td>57</td>\n",
       "      <td>80</td>\n",
       "      <td>58</td>\n",
       "      <td>49</td>\n",
       "      <td>48</td>\n",
       "      <td>43</td>\n",
       "      <td>50</td>\n",
       "      <td>43</td>\n",
       "      <td>19</td>\n",
       "      <td>58</td>\n",
       "      <td>54</td>\n",
       "      <td>53</td>\n",
       "      <td>60.0</td>\n",
       "      <td>24</td>\n",
       "      <td>25</td>\n",
       "      <td>28</td>\n",
       "      <td>14</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>2019</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>1100000.0</td>\n",
       "      <td>65.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245994</th>\n",
       "      <td>17</td>\n",
       "      <td>180</td>\n",
       "      <td>70</td>\n",
       "      <td>58</td>\n",
       "      <td>76</td>\n",
       "      <td>250000</td>\n",
       "      <td>2000</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>61.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>52</td>\n",
       "      <td>51</td>\n",
       "      <td>44</td>\n",
       "      <td>61</td>\n",
       "      <td>42</td>\n",
       "      <td>56</td>\n",
       "      <td>44</td>\n",
       "      <td>50</td>\n",
       "      <td>63</td>\n",
       "      <td>58</td>\n",
       "      <td>62</td>\n",
       "      <td>61</td>\n",
       "      <td>61</td>\n",
       "      <td>55</td>\n",
       "      <td>62</td>\n",
       "      <td>59</td>\n",
       "      <td>54</td>\n",
       "      <td>47</td>\n",
       "      <td>45</td>\n",
       "      <td>44</td>\n",
       "      <td>52</td>\n",
       "      <td>52</td>\n",
       "      <td>51</td>\n",
       "      <td>58</td>\n",
       "      <td>61</td>\n",
       "      <td>49.0</td>\n",
       "      <td>47</td>\n",
       "      <td>49</td>\n",
       "      <td>43</td>\n",
       "      <td>13</td>\n",
       "      <td>15</td>\n",
       "      <td>14</td>\n",
       "      <td>8</td>\n",
       "      <td>9</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>260000.0</td>\n",
       "      <td>58.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245993</th>\n",
       "      <td>17</td>\n",
       "      <td>175</td>\n",
       "      <td>65</td>\n",
       "      <td>54</td>\n",
       "      <td>77</td>\n",
       "      <td>130000</td>\n",
       "      <td>1000</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>59.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>42</td>\n",
       "      <td>32</td>\n",
       "      <td>46</td>\n",
       "      <td>57</td>\n",
       "      <td>33</td>\n",
       "      <td>54</td>\n",
       "      <td>39</td>\n",
       "      <td>34</td>\n",
       "      <td>50</td>\n",
       "      <td>52</td>\n",
       "      <td>62</td>\n",
       "      <td>57</td>\n",
       "      <td>49</td>\n",
       "      <td>56</td>\n",
       "      <td>72</td>\n",
       "      <td>53</td>\n",
       "      <td>61</td>\n",
       "      <td>52</td>\n",
       "      <td>48</td>\n",
       "      <td>39</td>\n",
       "      <td>59</td>\n",
       "      <td>53</td>\n",
       "      <td>41</td>\n",
       "      <td>44</td>\n",
       "      <td>41</td>\n",
       "      <td>46.0</td>\n",
       "      <td>51</td>\n",
       "      <td>55</td>\n",
       "      <td>57</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>170000.0</td>\n",
       "      <td>55.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245992</th>\n",
       "      <td>17</td>\n",
       "      <td>172</td>\n",
       "      <td>68</td>\n",
       "      <td>61</td>\n",
       "      <td>84</td>\n",
       "      <td>550000</td>\n",
       "      <td>7000</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>61.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>56</td>\n",
       "      <td>48</td>\n",
       "      <td>50</td>\n",
       "      <td>69</td>\n",
       "      <td>59</td>\n",
       "      <td>64</td>\n",
       "      <td>58</td>\n",
       "      <td>54</td>\n",
       "      <td>70</td>\n",
       "      <td>62</td>\n",
       "      <td>66</td>\n",
       "      <td>56</td>\n",
       "      <td>75</td>\n",
       "      <td>51</td>\n",
       "      <td>82</td>\n",
       "      <td>48</td>\n",
       "      <td>60</td>\n",
       "      <td>50</td>\n",
       "      <td>32</td>\n",
       "      <td>50</td>\n",
       "      <td>54</td>\n",
       "      <td>46</td>\n",
       "      <td>55</td>\n",
       "      <td>66</td>\n",
       "      <td>49</td>\n",
       "      <td>64.0</td>\n",
       "      <td>41</td>\n",
       "      <td>45</td>\n",
       "      <td>47</td>\n",
       "      <td>9</td>\n",
       "      <td>7</td>\n",
       "      <td>9</td>\n",
       "      <td>13</td>\n",
       "      <td>12</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>675000.0</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245989</th>\n",
       "      <td>20</td>\n",
       "      <td>173</td>\n",
       "      <td>64</td>\n",
       "      <td>63</td>\n",
       "      <td>75</td>\n",
       "      <td>575000</td>\n",
       "      <td>1000</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>74.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>63</td>\n",
       "      <td>29</td>\n",
       "      <td>22</td>\n",
       "      <td>58</td>\n",
       "      <td>37</td>\n",
       "      <td>64</td>\n",
       "      <td>59</td>\n",
       "      <td>39</td>\n",
       "      <td>45</td>\n",
       "      <td>59</td>\n",
       "      <td>75</td>\n",
       "      <td>74</td>\n",
       "      <td>68</td>\n",
       "      <td>62</td>\n",
       "      <td>75</td>\n",
       "      <td>33</td>\n",
       "      <td>62</td>\n",
       "      <td>60</td>\n",
       "      <td>29</td>\n",
       "      <td>32</td>\n",
       "      <td>48</td>\n",
       "      <td>64</td>\n",
       "      <td>56</td>\n",
       "      <td>42</td>\n",
       "      <td>40</td>\n",
       "      <td>51.0</td>\n",
       "      <td>58</td>\n",
       "      <td>62</td>\n",
       "      <td>64</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>11</td>\n",
       "      <td>2019</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>500000.0</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245986</th>\n",
       "      <td>22</td>\n",
       "      <td>180</td>\n",
       "      <td>70</td>\n",
       "      <td>60</td>\n",
       "      <td>70</td>\n",
       "      <td>325000</td>\n",
       "      <td>5000</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>58.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>54</td>\n",
       "      <td>38</td>\n",
       "      <td>51</td>\n",
       "      <td>66</td>\n",
       "      <td>35</td>\n",
       "      <td>59</td>\n",
       "      <td>49</td>\n",
       "      <td>42</td>\n",
       "      <td>62</td>\n",
       "      <td>63</td>\n",
       "      <td>59</td>\n",
       "      <td>58</td>\n",
       "      <td>65</td>\n",
       "      <td>60</td>\n",
       "      <td>67</td>\n",
       "      <td>57</td>\n",
       "      <td>62</td>\n",
       "      <td>57</td>\n",
       "      <td>62</td>\n",
       "      <td>53</td>\n",
       "      <td>58</td>\n",
       "      <td>53</td>\n",
       "      <td>55</td>\n",
       "      <td>63</td>\n",
       "      <td>52</td>\n",
       "      <td>60.0</td>\n",
       "      <td>43</td>\n",
       "      <td>51</td>\n",
       "      <td>47</td>\n",
       "      <td>10</td>\n",
       "      <td>8</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>825000.0</td>\n",
       "      <td>65.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245977</th>\n",
       "      <td>21</td>\n",
       "      <td>178</td>\n",
       "      <td>69</td>\n",
       "      <td>63</td>\n",
       "      <td>71</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>77.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>45</td>\n",
       "      <td>65</td>\n",
       "      <td>48</td>\n",
       "      <td>59</td>\n",
       "      <td>49</td>\n",
       "      <td>66</td>\n",
       "      <td>55</td>\n",
       "      <td>38</td>\n",
       "      <td>32</td>\n",
       "      <td>65</td>\n",
       "      <td>82</td>\n",
       "      <td>73</td>\n",
       "      <td>73</td>\n",
       "      <td>60</td>\n",
       "      <td>71</td>\n",
       "      <td>79</td>\n",
       "      <td>60</td>\n",
       "      <td>64</td>\n",
       "      <td>61</td>\n",
       "      <td>60</td>\n",
       "      <td>54</td>\n",
       "      <td>18</td>\n",
       "      <td>65</td>\n",
       "      <td>46</td>\n",
       "      <td>52</td>\n",
       "      <td>69.0</td>\n",
       "      <td>21</td>\n",
       "      <td>26</td>\n",
       "      <td>24</td>\n",
       "      <td>10</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "      <td>13</td>\n",
       "      <td>2019</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>550000.0</td>\n",
       "      <td>63.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245940</th>\n",
       "      <td>18</td>\n",
       "      <td>189</td>\n",
       "      <td>84</td>\n",
       "      <td>58</td>\n",
       "      <td>77</td>\n",
       "      <td>260000</td>\n",
       "      <td>1000</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>63.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>30</td>\n",
       "      <td>55</td>\n",
       "      <td>54</td>\n",
       "      <td>51</td>\n",
       "      <td>47</td>\n",
       "      <td>56</td>\n",
       "      <td>33</td>\n",
       "      <td>28</td>\n",
       "      <td>32</td>\n",
       "      <td>57</td>\n",
       "      <td>64</td>\n",
       "      <td>62</td>\n",
       "      <td>57</td>\n",
       "      <td>54</td>\n",
       "      <td>47</td>\n",
       "      <td>59</td>\n",
       "      <td>62</td>\n",
       "      <td>56</td>\n",
       "      <td>73</td>\n",
       "      <td>46</td>\n",
       "      <td>31</td>\n",
       "      <td>17</td>\n",
       "      <td>56</td>\n",
       "      <td>51</td>\n",
       "      <td>66</td>\n",
       "      <td>51.0</td>\n",
       "      <td>18</td>\n",
       "      <td>17</td>\n",
       "      <td>16</td>\n",
       "      <td>8</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>9</td>\n",
       "      <td>11</td>\n",
       "      <td>2019</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>3400000.0</td>\n",
       "      <td>70.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245931</th>\n",
       "      <td>22</td>\n",
       "      <td>179</td>\n",
       "      <td>77</td>\n",
       "      <td>53</td>\n",
       "      <td>60</td>\n",
       "      <td>60000</td>\n",
       "      <td>1000</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>12</td>\n",
       "      <td>6</td>\n",
       "      <td>11</td>\n",
       "      <td>23</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>25</td>\n",
       "      <td>16</td>\n",
       "      <td>32</td>\n",
       "      <td>15</td>\n",
       "      <td>38</td>\n",
       "      <td>43</td>\n",
       "      <td>44</td>\n",
       "      <td>24</td>\n",
       "      <td>60</td>\n",
       "      <td>25</td>\n",
       "      <td>53</td>\n",
       "      <td>9</td>\n",
       "      <td>20</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>29</td>\n",
       "      <td>17</td>\n",
       "      <td>30.0</td>\n",
       "      <td>8</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>53</td>\n",
       "      <td>55</td>\n",
       "      <td>56</td>\n",
       "      <td>54</td>\n",
       "      <td>51</td>\n",
       "      <td>2019</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>60000.0</td>\n",
       "      <td>53.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245898</th>\n",
       "      <td>21</td>\n",
       "      <td>178</td>\n",
       "      <td>72</td>\n",
       "      <td>57</td>\n",
       "      <td>63</td>\n",
       "      <td>140000</td>\n",
       "      <td>1000</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>66.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>53</td>\n",
       "      <td>49</td>\n",
       "      <td>41</td>\n",
       "      <td>59</td>\n",
       "      <td>52</td>\n",
       "      <td>59</td>\n",
       "      <td>39</td>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "      <td>57</td>\n",
       "      <td>68</td>\n",
       "      <td>65</td>\n",
       "      <td>69</td>\n",
       "      <td>55</td>\n",
       "      <td>72</td>\n",
       "      <td>58</td>\n",
       "      <td>59</td>\n",
       "      <td>65</td>\n",
       "      <td>60</td>\n",
       "      <td>46</td>\n",
       "      <td>34</td>\n",
       "      <td>20</td>\n",
       "      <td>48</td>\n",
       "      <td>56</td>\n",
       "      <td>46</td>\n",
       "      <td>52.0</td>\n",
       "      <td>22</td>\n",
       "      <td>21</td>\n",
       "      <td>28</td>\n",
       "      <td>13</td>\n",
       "      <td>5</td>\n",
       "      <td>13</td>\n",
       "      <td>12</td>\n",
       "      <td>7</td>\n",
       "      <td>2019</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>600000.0</td>\n",
       "      <td>64.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245895</th>\n",
       "      <td>21</td>\n",
       "      <td>180</td>\n",
       "      <td>75</td>\n",
       "      <td>61</td>\n",
       "      <td>74</td>\n",
       "      <td>475000</td>\n",
       "      <td>3000</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>68.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>71</td>\n",
       "      <td>55</td>\n",
       "      <td>45</td>\n",
       "      <td>61</td>\n",
       "      <td>40</td>\n",
       "      <td>62</td>\n",
       "      <td>45</td>\n",
       "      <td>32</td>\n",
       "      <td>60</td>\n",
       "      <td>51</td>\n",
       "      <td>65</td>\n",
       "      <td>70</td>\n",
       "      <td>63</td>\n",
       "      <td>45</td>\n",
       "      <td>65</td>\n",
       "      <td>55</td>\n",
       "      <td>49</td>\n",
       "      <td>69</td>\n",
       "      <td>65</td>\n",
       "      <td>50</td>\n",
       "      <td>28</td>\n",
       "      <td>24</td>\n",
       "      <td>55</td>\n",
       "      <td>53</td>\n",
       "      <td>53</td>\n",
       "      <td>48.0</td>\n",
       "      <td>26</td>\n",
       "      <td>29</td>\n",
       "      <td>28</td>\n",
       "      <td>14</td>\n",
       "      <td>11</td>\n",
       "      <td>9</td>\n",
       "      <td>14</td>\n",
       "      <td>10</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>475000.0</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245894</th>\n",
       "      <td>17</td>\n",
       "      <td>178</td>\n",
       "      <td>74</td>\n",
       "      <td>61</td>\n",
       "      <td>81</td>\n",
       "      <td>500000</td>\n",
       "      <td>2000</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>68.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>68</td>\n",
       "      <td>60</td>\n",
       "      <td>50</td>\n",
       "      <td>71</td>\n",
       "      <td>39</td>\n",
       "      <td>70</td>\n",
       "      <td>45</td>\n",
       "      <td>65</td>\n",
       "      <td>59</td>\n",
       "      <td>50</td>\n",
       "      <td>65</td>\n",
       "      <td>70</td>\n",
       "      <td>71</td>\n",
       "      <td>55</td>\n",
       "      <td>71</td>\n",
       "      <td>58</td>\n",
       "      <td>43</td>\n",
       "      <td>51</td>\n",
       "      <td>53</td>\n",
       "      <td>52</td>\n",
       "      <td>34</td>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>61</td>\n",
       "      <td>70</td>\n",
       "      <td>42.0</td>\n",
       "      <td>17</td>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>9</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>9</td>\n",
       "      <td>11</td>\n",
       "      <td>2019</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>1300000.0</td>\n",
       "      <td>66.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245866</th>\n",
       "      <td>18</td>\n",
       "      <td>186</td>\n",
       "      <td>75</td>\n",
       "      <td>53</td>\n",
       "      <td>68</td>\n",
       "      <td>100000</td>\n",
       "      <td>1000</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>14</td>\n",
       "      <td>8</td>\n",
       "      <td>13</td>\n",
       "      <td>17</td>\n",
       "      <td>8</td>\n",
       "      <td>9</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>16</td>\n",
       "      <td>14</td>\n",
       "      <td>26</td>\n",
       "      <td>16</td>\n",
       "      <td>36</td>\n",
       "      <td>45</td>\n",
       "      <td>41</td>\n",
       "      <td>21</td>\n",
       "      <td>58</td>\n",
       "      <td>21</td>\n",
       "      <td>54</td>\n",
       "      <td>8</td>\n",
       "      <td>19</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>24</td>\n",
       "      <td>12</td>\n",
       "      <td>23.0</td>\n",
       "      <td>9</td>\n",
       "      <td>14</td>\n",
       "      <td>11</td>\n",
       "      <td>51</td>\n",
       "      <td>59</td>\n",
       "      <td>55</td>\n",
       "      <td>45</td>\n",
       "      <td>55</td>\n",
       "      <td>2019</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>110000.0</td>\n",
       "      <td>53.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245863</th>\n",
       "      <td>18</td>\n",
       "      <td>179</td>\n",
       "      <td>75</td>\n",
       "      <td>58</td>\n",
       "      <td>70</td>\n",
       "      <td>180000</td>\n",
       "      <td>1000</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>62.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>51</td>\n",
       "      <td>34</td>\n",
       "      <td>48</td>\n",
       "      <td>35</td>\n",
       "      <td>26</td>\n",
       "      <td>64</td>\n",
       "      <td>36</td>\n",
       "      <td>34</td>\n",
       "      <td>35</td>\n",
       "      <td>57</td>\n",
       "      <td>64</td>\n",
       "      <td>61</td>\n",
       "      <td>58</td>\n",
       "      <td>57</td>\n",
       "      <td>66</td>\n",
       "      <td>32</td>\n",
       "      <td>63</td>\n",
       "      <td>62</td>\n",
       "      <td>55</td>\n",
       "      <td>28</td>\n",
       "      <td>74</td>\n",
       "      <td>56</td>\n",
       "      <td>46</td>\n",
       "      <td>40</td>\n",
       "      <td>45</td>\n",
       "      <td>34.0</td>\n",
       "      <td>54</td>\n",
       "      <td>63</td>\n",
       "      <td>66</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>14</td>\n",
       "      <td>2019</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>325000.0</td>\n",
       "      <td>60.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2335</th>\n",
       "      <td>37</td>\n",
       "      <td>191</td>\n",
       "      <td>72</td>\n",
       "      <td>64</td>\n",
       "      <td>64</td>\n",
       "      <td>160000</td>\n",
       "      <td>8000</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>37.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>49</td>\n",
       "      <td>67</td>\n",
       "      <td>78</td>\n",
       "      <td>67</td>\n",
       "      <td>56</td>\n",
       "      <td>49</td>\n",
       "      <td>43</td>\n",
       "      <td>42</td>\n",
       "      <td>39</td>\n",
       "      <td>64</td>\n",
       "      <td>33</td>\n",
       "      <td>53</td>\n",
       "      <td>32</td>\n",
       "      <td>67</td>\n",
       "      <td>52</td>\n",
       "      <td>69</td>\n",
       "      <td>70</td>\n",
       "      <td>34</td>\n",
       "      <td>82</td>\n",
       "      <td>47</td>\n",
       "      <td>79</td>\n",
       "      <td>24</td>\n",
       "      <td>67</td>\n",
       "      <td>66</td>\n",
       "      <td>68</td>\n",
       "      <td>66.0</td>\n",
       "      <td>23</td>\n",
       "      <td>20</td>\n",
       "      <td>19</td>\n",
       "      <td>12</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>9</td>\n",
       "      <td>2018</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>130000.0</td>\n",
       "      <td>63.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2335</th>\n",
       "      <td>38</td>\n",
       "      <td>191</td>\n",
       "      <td>72</td>\n",
       "      <td>63</td>\n",
       "      <td>63</td>\n",
       "      <td>130000</td>\n",
       "      <td>1000</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>38.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>49</td>\n",
       "      <td>62</td>\n",
       "      <td>75</td>\n",
       "      <td>68</td>\n",
       "      <td>56</td>\n",
       "      <td>49</td>\n",
       "      <td>48</td>\n",
       "      <td>42</td>\n",
       "      <td>41</td>\n",
       "      <td>63</td>\n",
       "      <td>35</td>\n",
       "      <td>40</td>\n",
       "      <td>35</td>\n",
       "      <td>67</td>\n",
       "      <td>51</td>\n",
       "      <td>60</td>\n",
       "      <td>66</td>\n",
       "      <td>34</td>\n",
       "      <td>82</td>\n",
       "      <td>47</td>\n",
       "      <td>83</td>\n",
       "      <td>26</td>\n",
       "      <td>69</td>\n",
       "      <td>68</td>\n",
       "      <td>68</td>\n",
       "      <td>69.0</td>\n",
       "      <td>24</td>\n",
       "      <td>20</td>\n",
       "      <td>19</td>\n",
       "      <td>12</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>9</td>\n",
       "      <td>2019</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>90000.0</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2196</th>\n",
       "      <td>34</td>\n",
       "      <td>190</td>\n",
       "      <td>90</td>\n",
       "      <td>79</td>\n",
       "      <td>79</td>\n",
       "      <td>6500000</td>\n",
       "      <td>80000</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>31</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>27</td>\n",
       "      <td>25</td>\n",
       "      <td>32</td>\n",
       "      <td>33</td>\n",
       "      <td>39</td>\n",
       "      <td>83</td>\n",
       "      <td>36</td>\n",
       "      <td>44</td>\n",
       "      <td>73</td>\n",
       "      <td>32</td>\n",
       "      <td>78</td>\n",
       "      <td>25</td>\n",
       "      <td>38</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>37</td>\n",
       "      <td>29</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>81</td>\n",
       "      <td>83</td>\n",
       "      <td>58</td>\n",
       "      <td>79</td>\n",
       "      <td>81</td>\n",
       "      <td>2016</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>4900000.0</td>\n",
       "      <td>78.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2196</th>\n",
       "      <td>35</td>\n",
       "      <td>190</td>\n",
       "      <td>87</td>\n",
       "      <td>78</td>\n",
       "      <td>78</td>\n",
       "      <td>4900000</td>\n",
       "      <td>40000</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>14</td>\n",
       "      <td>11</td>\n",
       "      <td>17</td>\n",
       "      <td>31</td>\n",
       "      <td>11</td>\n",
       "      <td>12</td>\n",
       "      <td>14</td>\n",
       "      <td>10</td>\n",
       "      <td>20</td>\n",
       "      <td>19</td>\n",
       "      <td>20</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>78</td>\n",
       "      <td>36</td>\n",
       "      <td>25</td>\n",
       "      <td>69</td>\n",
       "      <td>28</td>\n",
       "      <td>76</td>\n",
       "      <td>11</td>\n",
       "      <td>38</td>\n",
       "      <td>13</td>\n",
       "      <td>8</td>\n",
       "      <td>32</td>\n",
       "      <td>17</td>\n",
       "      <td>58.0</td>\n",
       "      <td>11</td>\n",
       "      <td>17</td>\n",
       "      <td>18</td>\n",
       "      <td>79</td>\n",
       "      <td>81</td>\n",
       "      <td>53</td>\n",
       "      <td>83</td>\n",
       "      <td>77</td>\n",
       "      <td>2017</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>1200000.0</td>\n",
       "      <td>77.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2147</th>\n",
       "      <td>32</td>\n",
       "      <td>197</td>\n",
       "      <td>92</td>\n",
       "      <td>77</td>\n",
       "      <td>77</td>\n",
       "      <td>5000000</td>\n",
       "      <td>50000</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>40</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>38</td>\n",
       "      <td>32</td>\n",
       "      <td>35</td>\n",
       "      <td>45</td>\n",
       "      <td>35</td>\n",
       "      <td>74</td>\n",
       "      <td>27</td>\n",
       "      <td>25</td>\n",
       "      <td>55</td>\n",
       "      <td>30</td>\n",
       "      <td>77</td>\n",
       "      <td>25</td>\n",
       "      <td>42</td>\n",
       "      <td>27</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>24</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>82</td>\n",
       "      <td>76</td>\n",
       "      <td>83</td>\n",
       "      <td>77</td>\n",
       "      <td>80</td>\n",
       "      <td>2016</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>3800000.0</td>\n",
       "      <td>76.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2147</th>\n",
       "      <td>33</td>\n",
       "      <td>197</td>\n",
       "      <td>92</td>\n",
       "      <td>76</td>\n",
       "      <td>76</td>\n",
       "      <td>3800000</td>\n",
       "      <td>40000</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>18</td>\n",
       "      <td>11</td>\n",
       "      <td>14</td>\n",
       "      <td>39</td>\n",
       "      <td>11</td>\n",
       "      <td>12</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>37</td>\n",
       "      <td>31</td>\n",
       "      <td>35</td>\n",
       "      <td>45</td>\n",
       "      <td>35</td>\n",
       "      <td>73</td>\n",
       "      <td>27</td>\n",
       "      <td>13</td>\n",
       "      <td>55</td>\n",
       "      <td>30</td>\n",
       "      <td>77</td>\n",
       "      <td>11</td>\n",
       "      <td>41</td>\n",
       "      <td>26</td>\n",
       "      <td>13</td>\n",
       "      <td>41</td>\n",
       "      <td>23</td>\n",
       "      <td>63.0</td>\n",
       "      <td>18</td>\n",
       "      <td>15</td>\n",
       "      <td>14</td>\n",
       "      <td>79</td>\n",
       "      <td>73</td>\n",
       "      <td>81</td>\n",
       "      <td>74</td>\n",
       "      <td>76</td>\n",
       "      <td>2017</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>2700000.0</td>\n",
       "      <td>75.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2147</th>\n",
       "      <td>34</td>\n",
       "      <td>197</td>\n",
       "      <td>92</td>\n",
       "      <td>75</td>\n",
       "      <td>75</td>\n",
       "      <td>2700000</td>\n",
       "      <td>60000</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>18</td>\n",
       "      <td>11</td>\n",
       "      <td>14</td>\n",
       "      <td>39</td>\n",
       "      <td>11</td>\n",
       "      <td>12</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>37</td>\n",
       "      <td>31</td>\n",
       "      <td>35</td>\n",
       "      <td>45</td>\n",
       "      <td>35</td>\n",
       "      <td>73</td>\n",
       "      <td>27</td>\n",
       "      <td>13</td>\n",
       "      <td>55</td>\n",
       "      <td>30</td>\n",
       "      <td>77</td>\n",
       "      <td>11</td>\n",
       "      <td>41</td>\n",
       "      <td>26</td>\n",
       "      <td>13</td>\n",
       "      <td>41</td>\n",
       "      <td>23</td>\n",
       "      <td>63.0</td>\n",
       "      <td>18</td>\n",
       "      <td>15</td>\n",
       "      <td>14</td>\n",
       "      <td>78</td>\n",
       "      <td>73</td>\n",
       "      <td>81</td>\n",
       "      <td>74</td>\n",
       "      <td>76</td>\n",
       "      <td>2018</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>950000.0</td>\n",
       "      <td>73.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2147</th>\n",
       "      <td>35</td>\n",
       "      <td>197</td>\n",
       "      <td>92</td>\n",
       "      <td>73</td>\n",
       "      <td>73</td>\n",
       "      <td>950000</td>\n",
       "      <td>30000</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>18</td>\n",
       "      <td>11</td>\n",
       "      <td>14</td>\n",
       "      <td>39</td>\n",
       "      <td>11</td>\n",
       "      <td>12</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>37</td>\n",
       "      <td>31</td>\n",
       "      <td>30</td>\n",
       "      <td>36</td>\n",
       "      <td>30</td>\n",
       "      <td>72</td>\n",
       "      <td>27</td>\n",
       "      <td>13</td>\n",
       "      <td>55</td>\n",
       "      <td>30</td>\n",
       "      <td>77</td>\n",
       "      <td>11</td>\n",
       "      <td>41</td>\n",
       "      <td>26</td>\n",
       "      <td>12</td>\n",
       "      <td>40</td>\n",
       "      <td>23</td>\n",
       "      <td>59.0</td>\n",
       "      <td>9</td>\n",
       "      <td>15</td>\n",
       "      <td>14</td>\n",
       "      <td>74</td>\n",
       "      <td>72</td>\n",
       "      <td>76</td>\n",
       "      <td>71</td>\n",
       "      <td>72</td>\n",
       "      <td>2019</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>675000.0</td>\n",
       "      <td>73.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1238</th>\n",
       "      <td>38</td>\n",
       "      <td>180</td>\n",
       "      <td>82</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>1500000</td>\n",
       "      <td>70000</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>38.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>83</td>\n",
       "      <td>81</td>\n",
       "      <td>44</td>\n",
       "      <td>90</td>\n",
       "      <td>90</td>\n",
       "      <td>80</td>\n",
       "      <td>77</td>\n",
       "      <td>79</td>\n",
       "      <td>87</td>\n",
       "      <td>90</td>\n",
       "      <td>48</td>\n",
       "      <td>34</td>\n",
       "      <td>69</td>\n",
       "      <td>83</td>\n",
       "      <td>60</td>\n",
       "      <td>90</td>\n",
       "      <td>34</td>\n",
       "      <td>55</td>\n",
       "      <td>78</td>\n",
       "      <td>86</td>\n",
       "      <td>69</td>\n",
       "      <td>24</td>\n",
       "      <td>79</td>\n",
       "      <td>90</td>\n",
       "      <td>90</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25</td>\n",
       "      <td>24</td>\n",
       "      <td>25</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "      <td>14</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>2016</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>1500000.0</td>\n",
       "      <td>80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1210</th>\n",
       "      <td>34</td>\n",
       "      <td>189</td>\n",
       "      <td>79</td>\n",
       "      <td>70</td>\n",
       "      <td>70</td>\n",
       "      <td>400000</td>\n",
       "      <td>15000</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>53.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>62</td>\n",
       "      <td>48</td>\n",
       "      <td>72</td>\n",
       "      <td>70</td>\n",
       "      <td>38</td>\n",
       "      <td>62</td>\n",
       "      <td>58</td>\n",
       "      <td>66</td>\n",
       "      <td>72</td>\n",
       "      <td>70</td>\n",
       "      <td>55</td>\n",
       "      <td>55</td>\n",
       "      <td>57</td>\n",
       "      <td>72</td>\n",
       "      <td>55</td>\n",
       "      <td>76</td>\n",
       "      <td>74</td>\n",
       "      <td>74</td>\n",
       "      <td>78</td>\n",
       "      <td>76</td>\n",
       "      <td>80</td>\n",
       "      <td>76</td>\n",
       "      <td>60</td>\n",
       "      <td>68</td>\n",
       "      <td>64</td>\n",
       "      <td>0.0</td>\n",
       "      <td>65</td>\n",
       "      <td>70</td>\n",
       "      <td>72</td>\n",
       "      <td>16</td>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "      <td>9</td>\n",
       "      <td>7</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>230000.0</td>\n",
       "      <td>70.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1210</th>\n",
       "      <td>35</td>\n",
       "      <td>189</td>\n",
       "      <td>79</td>\n",
       "      <td>70</td>\n",
       "      <td>70</td>\n",
       "      <td>230000</td>\n",
       "      <td>1000</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>52.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>61</td>\n",
       "      <td>47</td>\n",
       "      <td>71</td>\n",
       "      <td>67</td>\n",
       "      <td>37</td>\n",
       "      <td>61</td>\n",
       "      <td>57</td>\n",
       "      <td>65</td>\n",
       "      <td>69</td>\n",
       "      <td>68</td>\n",
       "      <td>55</td>\n",
       "      <td>52</td>\n",
       "      <td>56</td>\n",
       "      <td>71</td>\n",
       "      <td>55</td>\n",
       "      <td>74</td>\n",
       "      <td>71</td>\n",
       "      <td>63</td>\n",
       "      <td>73</td>\n",
       "      <td>76</td>\n",
       "      <td>79</td>\n",
       "      <td>75</td>\n",
       "      <td>59</td>\n",
       "      <td>64</td>\n",
       "      <td>63</td>\n",
       "      <td>77.0</td>\n",
       "      <td>63</td>\n",
       "      <td>69</td>\n",
       "      <td>71</td>\n",
       "      <td>15</td>\n",
       "      <td>7</td>\n",
       "      <td>9</td>\n",
       "      <td>8</td>\n",
       "      <td>6</td>\n",
       "      <td>2017</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>90000.0</td>\n",
       "      <td>66.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1179</th>\n",
       "      <td>37</td>\n",
       "      <td>191</td>\n",
       "      <td>83</td>\n",
       "      <td>84</td>\n",
       "      <td>84</td>\n",
       "      <td>9000000</td>\n",
       "      <td>130000</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>32</td>\n",
       "      <td>37</td>\n",
       "      <td>25</td>\n",
       "      <td>30</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>39</td>\n",
       "      <td>28</td>\n",
       "      <td>53</td>\n",
       "      <td>53</td>\n",
       "      <td>59</td>\n",
       "      <td>78</td>\n",
       "      <td>49</td>\n",
       "      <td>47</td>\n",
       "      <td>75</td>\n",
       "      <td>39</td>\n",
       "      <td>66</td>\n",
       "      <td>25</td>\n",
       "      <td>42</td>\n",
       "      <td>29</td>\n",
       "      <td>25</td>\n",
       "      <td>75</td>\n",
       "      <td>35</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>86</td>\n",
       "      <td>81</td>\n",
       "      <td>80</td>\n",
       "      <td>90</td>\n",
       "      <td>86</td>\n",
       "      <td>2016</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>9000000.0</td>\n",
       "      <td>88.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1179</th>\n",
       "      <td>38</td>\n",
       "      <td>192</td>\n",
       "      <td>91</td>\n",
       "      <td>88</td>\n",
       "      <td>88</td>\n",
       "      <td>9000000</td>\n",
       "      <td>100000</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>13</td>\n",
       "      <td>15</td>\n",
       "      <td>13</td>\n",
       "      <td>37</td>\n",
       "      <td>17</td>\n",
       "      <td>27</td>\n",
       "      <td>20</td>\n",
       "      <td>13</td>\n",
       "      <td>35</td>\n",
       "      <td>31</td>\n",
       "      <td>49</td>\n",
       "      <td>43</td>\n",
       "      <td>55</td>\n",
       "      <td>84</td>\n",
       "      <td>49</td>\n",
       "      <td>58</td>\n",
       "      <td>75</td>\n",
       "      <td>39</td>\n",
       "      <td>75</td>\n",
       "      <td>13</td>\n",
       "      <td>38</td>\n",
       "      <td>36</td>\n",
       "      <td>14</td>\n",
       "      <td>50</td>\n",
       "      <td>22</td>\n",
       "      <td>80.0</td>\n",
       "      <td>10</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>89</td>\n",
       "      <td>97</td>\n",
       "      <td>71</td>\n",
       "      <td>91</td>\n",
       "      <td>85</td>\n",
       "      <td>2017</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>4500000.0</td>\n",
       "      <td>89.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1179</th>\n",
       "      <td>39</td>\n",
       "      <td>191</td>\n",
       "      <td>94</td>\n",
       "      <td>89</td>\n",
       "      <td>89</td>\n",
       "      <td>4500000</td>\n",
       "      <td>110000</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>13</td>\n",
       "      <td>15</td>\n",
       "      <td>13</td>\n",
       "      <td>37</td>\n",
       "      <td>17</td>\n",
       "      <td>26</td>\n",
       "      <td>20</td>\n",
       "      <td>13</td>\n",
       "      <td>35</td>\n",
       "      <td>28</td>\n",
       "      <td>49</td>\n",
       "      <td>43</td>\n",
       "      <td>55</td>\n",
       "      <td>80</td>\n",
       "      <td>49</td>\n",
       "      <td>39</td>\n",
       "      <td>75</td>\n",
       "      <td>39</td>\n",
       "      <td>69</td>\n",
       "      <td>13</td>\n",
       "      <td>38</td>\n",
       "      <td>28</td>\n",
       "      <td>12</td>\n",
       "      <td>50</td>\n",
       "      <td>22</td>\n",
       "      <td>80.0</td>\n",
       "      <td>10</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>91</td>\n",
       "      <td>88</td>\n",
       "      <td>80</td>\n",
       "      <td>90</td>\n",
       "      <td>84</td>\n",
       "      <td>2018</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>4000000.0</td>\n",
       "      <td>88.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1179</th>\n",
       "      <td>40</td>\n",
       "      <td>192</td>\n",
       "      <td>92</td>\n",
       "      <td>88</td>\n",
       "      <td>88</td>\n",
       "      <td>4000000</td>\n",
       "      <td>77000</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>13</td>\n",
       "      <td>15</td>\n",
       "      <td>13</td>\n",
       "      <td>37</td>\n",
       "      <td>17</td>\n",
       "      <td>26</td>\n",
       "      <td>20</td>\n",
       "      <td>13</td>\n",
       "      <td>35</td>\n",
       "      <td>28</td>\n",
       "      <td>49</td>\n",
       "      <td>43</td>\n",
       "      <td>55</td>\n",
       "      <td>79</td>\n",
       "      <td>49</td>\n",
       "      <td>39</td>\n",
       "      <td>75</td>\n",
       "      <td>39</td>\n",
       "      <td>69</td>\n",
       "      <td>13</td>\n",
       "      <td>38</td>\n",
       "      <td>28</td>\n",
       "      <td>12</td>\n",
       "      <td>50</td>\n",
       "      <td>22</td>\n",
       "      <td>70.0</td>\n",
       "      <td>13</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>88</td>\n",
       "      <td>87</td>\n",
       "      <td>74</td>\n",
       "      <td>90</td>\n",
       "      <td>83</td>\n",
       "      <td>2019</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>2600000.0</td>\n",
       "      <td>83.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1178</th>\n",
       "      <td>34</td>\n",
       "      <td>185</td>\n",
       "      <td>83</td>\n",
       "      <td>75</td>\n",
       "      <td>75</td>\n",
       "      <td>1300000</td>\n",
       "      <td>30000</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>43.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40</td>\n",
       "      <td>31</td>\n",
       "      <td>79</td>\n",
       "      <td>63</td>\n",
       "      <td>34</td>\n",
       "      <td>46</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>69</td>\n",
       "      <td>61</td>\n",
       "      <td>34</td>\n",
       "      <td>51</td>\n",
       "      <td>60</td>\n",
       "      <td>69</td>\n",
       "      <td>50</td>\n",
       "      <td>73</td>\n",
       "      <td>80</td>\n",
       "      <td>49</td>\n",
       "      <td>76</td>\n",
       "      <td>52</td>\n",
       "      <td>79</td>\n",
       "      <td>81</td>\n",
       "      <td>36</td>\n",
       "      <td>51</td>\n",
       "      <td>48</td>\n",
       "      <td>0.0</td>\n",
       "      <td>80</td>\n",
       "      <td>81</td>\n",
       "      <td>79</td>\n",
       "      <td>15</td>\n",
       "      <td>9</td>\n",
       "      <td>6</td>\n",
       "      <td>15</td>\n",
       "      <td>6</td>\n",
       "      <td>2016</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>900000.0</td>\n",
       "      <td>76.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1178</th>\n",
       "      <td>35</td>\n",
       "      <td>185</td>\n",
       "      <td>83</td>\n",
       "      <td>76</td>\n",
       "      <td>76</td>\n",
       "      <td>900000</td>\n",
       "      <td>8000</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>34.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>39</td>\n",
       "      <td>30</td>\n",
       "      <td>78</td>\n",
       "      <td>62</td>\n",
       "      <td>33</td>\n",
       "      <td>45</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>68</td>\n",
       "      <td>60</td>\n",
       "      <td>34</td>\n",
       "      <td>51</td>\n",
       "      <td>60</td>\n",
       "      <td>68</td>\n",
       "      <td>50</td>\n",
       "      <td>72</td>\n",
       "      <td>80</td>\n",
       "      <td>49</td>\n",
       "      <td>76</td>\n",
       "      <td>51</td>\n",
       "      <td>78</td>\n",
       "      <td>80</td>\n",
       "      <td>35</td>\n",
       "      <td>50</td>\n",
       "      <td>47</td>\n",
       "      <td>69.0</td>\n",
       "      <td>77</td>\n",
       "      <td>78</td>\n",
       "      <td>76</td>\n",
       "      <td>14</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>14</td>\n",
       "      <td>5</td>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>900000.0</td>\n",
       "      <td>75.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>887</th>\n",
       "      <td>31</td>\n",
       "      <td>185</td>\n",
       "      <td>81</td>\n",
       "      <td>64</td>\n",
       "      <td>64</td>\n",
       "      <td>280000</td>\n",
       "      <td>5000</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>52.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>37</td>\n",
       "      <td>24</td>\n",
       "      <td>68</td>\n",
       "      <td>53</td>\n",
       "      <td>28</td>\n",
       "      <td>33</td>\n",
       "      <td>36</td>\n",
       "      <td>44</td>\n",
       "      <td>37</td>\n",
       "      <td>44</td>\n",
       "      <td>54</td>\n",
       "      <td>50</td>\n",
       "      <td>43</td>\n",
       "      <td>62</td>\n",
       "      <td>54</td>\n",
       "      <td>28</td>\n",
       "      <td>61</td>\n",
       "      <td>64</td>\n",
       "      <td>85</td>\n",
       "      <td>24</td>\n",
       "      <td>63</td>\n",
       "      <td>62</td>\n",
       "      <td>44</td>\n",
       "      <td>49</td>\n",
       "      <td>33</td>\n",
       "      <td>0.0</td>\n",
       "      <td>67</td>\n",
       "      <td>69</td>\n",
       "      <td>69</td>\n",
       "      <td>11</td>\n",
       "      <td>7</td>\n",
       "      <td>12</td>\n",
       "      <td>17</td>\n",
       "      <td>11</td>\n",
       "      <td>2016</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>300000.0</td>\n",
       "      <td>65.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>887</th>\n",
       "      <td>32</td>\n",
       "      <td>185</td>\n",
       "      <td>81</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>300000</td>\n",
       "      <td>1000</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>51.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>36</td>\n",
       "      <td>23</td>\n",
       "      <td>67</td>\n",
       "      <td>52</td>\n",
       "      <td>27</td>\n",
       "      <td>32</td>\n",
       "      <td>35</td>\n",
       "      <td>43</td>\n",
       "      <td>36</td>\n",
       "      <td>43</td>\n",
       "      <td>54</td>\n",
       "      <td>50</td>\n",
       "      <td>33</td>\n",
       "      <td>61</td>\n",
       "      <td>54</td>\n",
       "      <td>27</td>\n",
       "      <td>60</td>\n",
       "      <td>62</td>\n",
       "      <td>81</td>\n",
       "      <td>23</td>\n",
       "      <td>62</td>\n",
       "      <td>61</td>\n",
       "      <td>40</td>\n",
       "      <td>48</td>\n",
       "      <td>32</td>\n",
       "      <td>59.0</td>\n",
       "      <td>64</td>\n",
       "      <td>67</td>\n",
       "      <td>66</td>\n",
       "      <td>10</td>\n",
       "      <td>6</td>\n",
       "      <td>11</td>\n",
       "      <td>16</td>\n",
       "      <td>10</td>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>220000.0</td>\n",
       "      <td>65.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>768</th>\n",
       "      <td>31</td>\n",
       "      <td>188</td>\n",
       "      <td>75</td>\n",
       "      <td>75</td>\n",
       "      <td>75</td>\n",
       "      <td>2700000</td>\n",
       "      <td>20000</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>52.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>46</td>\n",
       "      <td>20</td>\n",
       "      <td>77</td>\n",
       "      <td>69</td>\n",
       "      <td>19</td>\n",
       "      <td>52</td>\n",
       "      <td>49</td>\n",
       "      <td>21</td>\n",
       "      <td>66</td>\n",
       "      <td>70</td>\n",
       "      <td>50</td>\n",
       "      <td>55</td>\n",
       "      <td>62</td>\n",
       "      <td>72</td>\n",
       "      <td>71</td>\n",
       "      <td>68</td>\n",
       "      <td>70</td>\n",
       "      <td>55</td>\n",
       "      <td>71</td>\n",
       "      <td>40</td>\n",
       "      <td>74</td>\n",
       "      <td>83</td>\n",
       "      <td>29</td>\n",
       "      <td>51</td>\n",
       "      <td>35</td>\n",
       "      <td>67.0</td>\n",
       "      <td>84</td>\n",
       "      <td>82</td>\n",
       "      <td>76</td>\n",
       "      <td>11</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>9</td>\n",
       "      <td>5</td>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3800000.0</td>\n",
       "      <td>75.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>768</th>\n",
       "      <td>32</td>\n",
       "      <td>188</td>\n",
       "      <td>75</td>\n",
       "      <td>75</td>\n",
       "      <td>75</td>\n",
       "      <td>3800000</td>\n",
       "      <td>14000</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>43.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>34</td>\n",
       "      <td>20</td>\n",
       "      <td>74</td>\n",
       "      <td>62</td>\n",
       "      <td>19</td>\n",
       "      <td>44</td>\n",
       "      <td>49</td>\n",
       "      <td>21</td>\n",
       "      <td>64</td>\n",
       "      <td>60</td>\n",
       "      <td>50</td>\n",
       "      <td>54</td>\n",
       "      <td>52</td>\n",
       "      <td>72</td>\n",
       "      <td>63</td>\n",
       "      <td>68</td>\n",
       "      <td>70</td>\n",
       "      <td>55</td>\n",
       "      <td>69</td>\n",
       "      <td>40</td>\n",
       "      <td>70</td>\n",
       "      <td>81</td>\n",
       "      <td>29</td>\n",
       "      <td>46</td>\n",
       "      <td>35</td>\n",
       "      <td>69.0</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>76</td>\n",
       "      <td>11</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>9</td>\n",
       "      <td>5</td>\n",
       "      <td>2018</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2700000.0</td>\n",
       "      <td>75.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>768</th>\n",
       "      <td>33</td>\n",
       "      <td>188</td>\n",
       "      <td>75</td>\n",
       "      <td>75</td>\n",
       "      <td>75</td>\n",
       "      <td>2700000</td>\n",
       "      <td>13000</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>40.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>34</td>\n",
       "      <td>20</td>\n",
       "      <td>74</td>\n",
       "      <td>62</td>\n",
       "      <td>19</td>\n",
       "      <td>44</td>\n",
       "      <td>49</td>\n",
       "      <td>21</td>\n",
       "      <td>64</td>\n",
       "      <td>60</td>\n",
       "      <td>38</td>\n",
       "      <td>41</td>\n",
       "      <td>49</td>\n",
       "      <td>72</td>\n",
       "      <td>63</td>\n",
       "      <td>68</td>\n",
       "      <td>70</td>\n",
       "      <td>48</td>\n",
       "      <td>67</td>\n",
       "      <td>40</td>\n",
       "      <td>70</td>\n",
       "      <td>81</td>\n",
       "      <td>29</td>\n",
       "      <td>46</td>\n",
       "      <td>35</td>\n",
       "      <td>68.0</td>\n",
       "      <td>77</td>\n",
       "      <td>80</td>\n",
       "      <td>76</td>\n",
       "      <td>11</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>9</td>\n",
       "      <td>5</td>\n",
       "      <td>2019</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2100000.0</td>\n",
       "      <td>74.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>657</th>\n",
       "      <td>32</td>\n",
       "      <td>168</td>\n",
       "      <td>70</td>\n",
       "      <td>68</td>\n",
       "      <td>68</td>\n",
       "      <td>500000</td>\n",
       "      <td>10000</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>36.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>73</td>\n",
       "      <td>58</td>\n",
       "      <td>59</td>\n",
       "      <td>78</td>\n",
       "      <td>62</td>\n",
       "      <td>70</td>\n",
       "      <td>70</td>\n",
       "      <td>68</td>\n",
       "      <td>76</td>\n",
       "      <td>74</td>\n",
       "      <td>41</td>\n",
       "      <td>32</td>\n",
       "      <td>59</td>\n",
       "      <td>68</td>\n",
       "      <td>90</td>\n",
       "      <td>71</td>\n",
       "      <td>74</td>\n",
       "      <td>72</td>\n",
       "      <td>57</td>\n",
       "      <td>81</td>\n",
       "      <td>74</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>71</td>\n",
       "      <td>75</td>\n",
       "      <td>0.0</td>\n",
       "      <td>66</td>\n",
       "      <td>68</td>\n",
       "      <td>68</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>11</td>\n",
       "      <td>10</td>\n",
       "      <td>8</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>600000.0</td>\n",
       "      <td>70.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>657</th>\n",
       "      <td>33</td>\n",
       "      <td>168</td>\n",
       "      <td>70</td>\n",
       "      <td>70</td>\n",
       "      <td>70</td>\n",
       "      <td>600000</td>\n",
       "      <td>1000</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>33.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>72</td>\n",
       "      <td>65</td>\n",
       "      <td>58</td>\n",
       "      <td>77</td>\n",
       "      <td>61</td>\n",
       "      <td>69</td>\n",
       "      <td>69</td>\n",
       "      <td>67</td>\n",
       "      <td>75</td>\n",
       "      <td>73</td>\n",
       "      <td>41</td>\n",
       "      <td>32</td>\n",
       "      <td>59</td>\n",
       "      <td>67</td>\n",
       "      <td>90</td>\n",
       "      <td>70</td>\n",
       "      <td>74</td>\n",
       "      <td>52</td>\n",
       "      <td>57</td>\n",
       "      <td>75</td>\n",
       "      <td>73</td>\n",
       "      <td>72</td>\n",
       "      <td>64</td>\n",
       "      <td>76</td>\n",
       "      <td>74</td>\n",
       "      <td>81.0</td>\n",
       "      <td>65</td>\n",
       "      <td>67</td>\n",
       "      <td>67</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>10</td>\n",
       "      <td>9</td>\n",
       "      <td>7</td>\n",
       "      <td>2017</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>325000.0</td>\n",
       "      <td>69.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>657</th>\n",
       "      <td>34</td>\n",
       "      <td>168</td>\n",
       "      <td>70</td>\n",
       "      <td>69</td>\n",
       "      <td>69</td>\n",
       "      <td>325000</td>\n",
       "      <td>16000</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>33.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>68</td>\n",
       "      <td>59</td>\n",
       "      <td>58</td>\n",
       "      <td>74</td>\n",
       "      <td>57</td>\n",
       "      <td>64</td>\n",
       "      <td>68</td>\n",
       "      <td>67</td>\n",
       "      <td>74</td>\n",
       "      <td>70</td>\n",
       "      <td>34</td>\n",
       "      <td>32</td>\n",
       "      <td>61</td>\n",
       "      <td>67</td>\n",
       "      <td>90</td>\n",
       "      <td>70</td>\n",
       "      <td>74</td>\n",
       "      <td>69</td>\n",
       "      <td>59</td>\n",
       "      <td>73</td>\n",
       "      <td>73</td>\n",
       "      <td>68</td>\n",
       "      <td>55</td>\n",
       "      <td>73</td>\n",
       "      <td>66</td>\n",
       "      <td>87.0</td>\n",
       "      <td>65</td>\n",
       "      <td>69</td>\n",
       "      <td>64</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>10</td>\n",
       "      <td>9</td>\n",
       "      <td>7</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>150000.0</td>\n",
       "      <td>66.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>645</th>\n",
       "      <td>42</td>\n",
       "      <td>187</td>\n",
       "      <td>85</td>\n",
       "      <td>57</td>\n",
       "      <td>57</td>\n",
       "      <td>20000</td>\n",
       "      <td>1000</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>37</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>32</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>61</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>64</td>\n",
       "      <td>25</td>\n",
       "      <td>34</td>\n",
       "      <td>22</td>\n",
       "      <td>25</td>\n",
       "      <td>31</td>\n",
       "      <td>25</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>59</td>\n",
       "      <td>52</td>\n",
       "      <td>50</td>\n",
       "      <td>59</td>\n",
       "      <td>63</td>\n",
       "      <td>2016</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>20000.0</td>\n",
       "      <td>57.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>591</th>\n",
       "      <td>39</td>\n",
       "      <td>188</td>\n",
       "      <td>85</td>\n",
       "      <td>63</td>\n",
       "      <td>63</td>\n",
       "      <td>60000</td>\n",
       "      <td>1000</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>36</td>\n",
       "      <td>21</td>\n",
       "      <td>20</td>\n",
       "      <td>21</td>\n",
       "      <td>34</td>\n",
       "      <td>81</td>\n",
       "      <td>41</td>\n",
       "      <td>25</td>\n",
       "      <td>53</td>\n",
       "      <td>30</td>\n",
       "      <td>61</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>69</td>\n",
       "      <td>57</td>\n",
       "      <td>51</td>\n",
       "      <td>68</td>\n",
       "      <td>67</td>\n",
       "      <td>2016</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>20000.0</td>\n",
       "      <td>58.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>591</th>\n",
       "      <td>40</td>\n",
       "      <td>188</td>\n",
       "      <td>85</td>\n",
       "      <td>58</td>\n",
       "      <td>58</td>\n",
       "      <td>20000</td>\n",
       "      <td>1000</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>17</td>\n",
       "      <td>21</td>\n",
       "      <td>15</td>\n",
       "      <td>7</td>\n",
       "      <td>14</td>\n",
       "      <td>9</td>\n",
       "      <td>32</td>\n",
       "      <td>16</td>\n",
       "      <td>11</td>\n",
       "      <td>12</td>\n",
       "      <td>20</td>\n",
       "      <td>67</td>\n",
       "      <td>37</td>\n",
       "      <td>12</td>\n",
       "      <td>50</td>\n",
       "      <td>25</td>\n",
       "      <td>56</td>\n",
       "      <td>9</td>\n",
       "      <td>23</td>\n",
       "      <td>13</td>\n",
       "      <td>7</td>\n",
       "      <td>23</td>\n",
       "      <td>13</td>\n",
       "      <td>40.0</td>\n",
       "      <td>9</td>\n",
       "      <td>11</td>\n",
       "      <td>17</td>\n",
       "      <td>63</td>\n",
       "      <td>57</td>\n",
       "      <td>45</td>\n",
       "      <td>63</td>\n",
       "      <td>64</td>\n",
       "      <td>2017</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>59.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>330</th>\n",
       "      <td>34</td>\n",
       "      <td>175</td>\n",
       "      <td>73</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>7500000</td>\n",
       "      <td>50000</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>70.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>68</td>\n",
       "      <td>86</td>\n",
       "      <td>64</td>\n",
       "      <td>82</td>\n",
       "      <td>85</td>\n",
       "      <td>83</td>\n",
       "      <td>83</td>\n",
       "      <td>64</td>\n",
       "      <td>63</td>\n",
       "      <td>87</td>\n",
       "      <td>78</td>\n",
       "      <td>68</td>\n",
       "      <td>77</td>\n",
       "      <td>83</td>\n",
       "      <td>83</td>\n",
       "      <td>83</td>\n",
       "      <td>66</td>\n",
       "      <td>72</td>\n",
       "      <td>68</td>\n",
       "      <td>82</td>\n",
       "      <td>68</td>\n",
       "      <td>35</td>\n",
       "      <td>86</td>\n",
       "      <td>83</td>\n",
       "      <td>76</td>\n",
       "      <td>0.0</td>\n",
       "      <td>29</td>\n",
       "      <td>27</td>\n",
       "      <td>25</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>14</td>\n",
       "      <td>15</td>\n",
       "      <td>17</td>\n",
       "      <td>2016</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>5500000.0</td>\n",
       "      <td>80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>35</td>\n",
       "      <td>180</td>\n",
       "      <td>76</td>\n",
       "      <td>73</td>\n",
       "      <td>73</td>\n",
       "      <td>975000</td>\n",
       "      <td>1000</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>67.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>71</td>\n",
       "      <td>59</td>\n",
       "      <td>68</td>\n",
       "      <td>77</td>\n",
       "      <td>68</td>\n",
       "      <td>66</td>\n",
       "      <td>58</td>\n",
       "      <td>54</td>\n",
       "      <td>77</td>\n",
       "      <td>71</td>\n",
       "      <td>70</td>\n",
       "      <td>66</td>\n",
       "      <td>72</td>\n",
       "      <td>69</td>\n",
       "      <td>62</td>\n",
       "      <td>77</td>\n",
       "      <td>72</td>\n",
       "      <td>70</td>\n",
       "      <td>72</td>\n",
       "      <td>73</td>\n",
       "      <td>77</td>\n",
       "      <td>77</td>\n",
       "      <td>67</td>\n",
       "      <td>77</td>\n",
       "      <td>67</td>\n",
       "      <td>74.0</td>\n",
       "      <td>65</td>\n",
       "      <td>73</td>\n",
       "      <td>69</td>\n",
       "      <td>5</td>\n",
       "      <td>15</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>13</td>\n",
       "      <td>2017</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>240000.0</td>\n",
       "      <td>70.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>52107 rows × 61 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           age  height_cm  weight_kg  overall  potential  value_eur  wage_eur  \\\n",
       "sofifa_id                                                                       \n",
       "246063      18        185         75       54         68     130000      1000   \n",
       "246057      21        178         70       65         74          0         0   \n",
       "246051      17        182         73       49         61      50000      1000   \n",
       "246049      20        172         70       61         73     450000      3000   \n",
       "246048      18        177         75       54         70     130000      1000   \n",
       "246045      17        177         70       61         78     500000      2000   \n",
       "246044      18        180         75       62         78     625000      1000   \n",
       "246033      19        179         78       56         71     180000      1000   \n",
       "246032      21        192         85       58         65     130000      1000   \n",
       "246020      17        181         77       50         68      60000      1000   \n",
       "246015      23        184         79       67         73          0         0   \n",
       "246014      18        176         67       65         77          0         0   \n",
       "246012      19        177         67       57         73     180000      1000   \n",
       "246011      21        180         77       64         77     875000      2000   \n",
       "246010      22        184         78       67         77     950000      2000   \n",
       "246005      17        178         68       53         69     100000      1000   \n",
       "245999      17        176         64       59         79     300000      4000   \n",
       "245994      17        180         70       58         76     250000      2000   \n",
       "245993      17        175         65       54         77     130000      1000   \n",
       "245992      17        172         68       61         84     550000      7000   \n",
       "245989      20        173         64       63         75     575000      1000   \n",
       "245986      22        180         70       60         70     325000      5000   \n",
       "245977      21        178         69       63         71          0         0   \n",
       "245940      18        189         84       58         77     260000      1000   \n",
       "245931      22        179         77       53         60      60000      1000   \n",
       "245898      21        178         72       57         63     140000      1000   \n",
       "245895      21        180         75       61         74     475000      3000   \n",
       "245894      17        178         74       61         81     500000      2000   \n",
       "245866      18        186         75       53         68     100000      1000   \n",
       "245863      18        179         75       58         70     180000      1000   \n",
       "...        ...        ...        ...      ...        ...        ...       ...   \n",
       "2335        37        191         72       64         64     160000      8000   \n",
       "2335        38        191         72       63         63     130000      1000   \n",
       "2196        34        190         90       79         79    6500000     80000   \n",
       "2196        35        190         87       78         78    4900000     40000   \n",
       "2147        32        197         92       77         77    5000000     50000   \n",
       "2147        33        197         92       76         76    3800000     40000   \n",
       "2147        34        197         92       75         75    2700000     60000   \n",
       "2147        35        197         92       73         73     950000     30000   \n",
       "1238        38        180         82       80         80    1500000     70000   \n",
       "1210        34        189         79       70         70     400000     15000   \n",
       "1210        35        189         79       70         70     230000      1000   \n",
       "1179        37        191         83       84         84    9000000    130000   \n",
       "1179        38        192         91       88         88    9000000    100000   \n",
       "1179        39        191         94       89         89    4500000    110000   \n",
       "1179        40        192         92       88         88    4000000     77000   \n",
       "1178        34        185         83       75         75    1300000     30000   \n",
       "1178        35        185         83       76         76     900000      8000   \n",
       "887         31        185         81       64         64     280000      5000   \n",
       "887         32        185         81       65         65     300000      1000   \n",
       "768         31        188         75       75         75    2700000     20000   \n",
       "768         32        188         75       75         75    3800000     14000   \n",
       "768         33        188         75       75         75    2700000     13000   \n",
       "657         32        168         70       68         68     500000     10000   \n",
       "657         33        168         70       70         70     600000      1000   \n",
       "657         34        168         70       69         69     325000     16000   \n",
       "645         42        187         85       57         57      20000      1000   \n",
       "591         39        188         85       63         63      60000      1000   \n",
       "591         40        188         85       58         58      20000      1000   \n",
       "330         34        175         73       80         80    7500000     50000   \n",
       "164         35        180         76       73         73     975000      1000   \n",
       "\n",
       "           international_reputation  weak_foot  skill_moves  pace  shooting  \\\n",
       "sofifa_id                                                                     \n",
       "246063                            1          3            2  64.0      37.0   \n",
       "246057                            1          3            2  71.0      58.0   \n",
       "246051                            1          3            2  73.0      40.0   \n",
       "246049                            1          2            2  68.0      60.0   \n",
       "246048                            1          3            2  61.0      30.0   \n",
       "246045                            1          3            2  72.0      59.0   \n",
       "246044                            1          3            3  65.0      61.0   \n",
       "246033                            1          3            2  56.0      41.0   \n",
       "246032                            1          3            1   0.0       0.0   \n",
       "246020                            1          3            2  79.0      48.0   \n",
       "246015                            1          2            2  77.0      42.0   \n",
       "246014                            1          2            2  75.0      42.0   \n",
       "246012                            1          3            1   0.0       0.0   \n",
       "246011                            1          2            3  74.0      63.0   \n",
       "246010                            1          2            1   0.0       0.0   \n",
       "246005                            1          3            2  72.0      29.0   \n",
       "245999                            1          3            3  73.0      54.0   \n",
       "245994                            1          3            3  61.0      51.0   \n",
       "245993                            1          3            2  59.0      39.0   \n",
       "245992                            1          3            3  61.0      49.0   \n",
       "245989                            1          3            2  74.0      33.0   \n",
       "245986                            1          3            3  58.0      46.0   \n",
       "245977                            1          3            3  77.0      65.0   \n",
       "245940                            1          3            2  63.0      54.0   \n",
       "245931                            1          2            1   0.0       0.0   \n",
       "245898                            1          3            3  66.0      50.0   \n",
       "245895                            1          2            2  68.0      53.0   \n",
       "245894                            1          5            3  68.0      57.0   \n",
       "245866                            1          2            1   0.0       0.0   \n",
       "245863                            1          2            2  62.0      33.0   \n",
       "...                             ...        ...          ...   ...       ...   \n",
       "2335                              1          3            2  37.0      62.0   \n",
       "2335                              1          3            2  38.0      59.0   \n",
       "2196                              3          1            1   0.0       0.0   \n",
       "2196                              2          1            1   0.0       0.0   \n",
       "2147                              2          4            1   0.0       0.0   \n",
       "2147                              2          4            1   0.0       0.0   \n",
       "2147                              2          4            1   0.0       0.0   \n",
       "2147                              2          4            1   0.0       0.0   \n",
       "1238                              3          5            3  38.0      84.0   \n",
       "1210                              2          3            2  53.0      59.0   \n",
       "1210                              1          3            2  52.0      59.0   \n",
       "1179                              4          2            1   0.0       0.0   \n",
       "1179                              4          2            1   0.0       0.0   \n",
       "1179                              4          2            1   0.0       0.0   \n",
       "1179                              4          2            1   0.0       0.0   \n",
       "1178                              2          3            2  43.0      44.0   \n",
       "1178                              2          3            2  34.0      44.0   \n",
       "887                               1          3            2  52.0      25.0   \n",
       "887                               1          3            2  51.0      25.0   \n",
       "768                               2          3            2  52.0      35.0   \n",
       "768                               2          3            2  43.0      35.0   \n",
       "768                               2          3            2  40.0      35.0   \n",
       "657                               2          3            3  36.0      65.0   \n",
       "657                               1          3            3  33.0      66.0   \n",
       "657                               1          3            3  33.0      64.0   \n",
       "645                               1          3            1   0.0       0.0   \n",
       "591                               1          2            1   0.0       0.0   \n",
       "591                               1          2            1   0.0       0.0   \n",
       "330                               2          4            3  70.0      83.0   \n",
       "164                               2          3            2  67.0      67.0   \n",
       "\n",
       "           passing  dribbling  defending  physic  gk_diving  gk_handling  \\\n",
       "sofifa_id                                                                  \n",
       "246063        48.0       52.0       52.0    60.0        0.0          0.0   \n",
       "246057        62.0       60.0       63.0    63.0        0.0          0.0   \n",
       "246051        43.0       49.0       36.0    47.0        0.0          0.0   \n",
       "246049        43.0       56.0       18.0    56.0        0.0          0.0   \n",
       "246048        30.0       33.0       54.0    61.0        0.0          0.0   \n",
       "246045        57.0       61.0       28.0    47.0        0.0          0.0   \n",
       "246044        54.0       62.0       27.0    48.0        0.0          0.0   \n",
       "246033        55.0       58.0       52.0    57.0        0.0          0.0   \n",
       "246032         0.0        0.0        0.0     0.0       52.0         57.0   \n",
       "246020        34.0       50.0       20.0    44.0        0.0          0.0   \n",
       "246015        59.0       54.0       66.0    70.0        0.0          0.0   \n",
       "246014        59.0       55.0       65.0    65.0        0.0          0.0   \n",
       "246012         0.0        0.0        0.0     0.0       55.0         61.0   \n",
       "246011        60.0       65.0       49.0    60.0        0.0          0.0   \n",
       "246010         0.0        0.0        0.0     0.0       66.0         69.0   \n",
       "246005        45.0       50.0       53.0    52.0        0.0          0.0   \n",
       "245999        53.0       62.0       26.0    45.0        0.0          0.0   \n",
       "245994        58.0       57.0       48.0    47.0        0.0          0.0   \n",
       "245993        48.0       54.0       53.0    52.0        0.0          0.0   \n",
       "245992        65.0       65.0       45.0    42.0        0.0          0.0   \n",
       "245989        53.0       63.0       57.0    42.0        0.0          0.0   \n",
       "245986        60.0       61.0       49.0    60.0        0.0          0.0   \n",
       "245977        48.0       66.0       25.0    60.0        0.0          0.0   \n",
       "245940        42.0       56.0       21.0    60.0        0.0          0.0   \n",
       "245931         0.0        0.0        0.0     0.0       53.0         55.0   \n",
       "245898        51.0       60.0       24.0    56.0        0.0          0.0   \n",
       "245895        59.0       58.0       29.0    58.0        0.0          0.0   \n",
       "245894        65.0       63.0       26.0    48.0        0.0          0.0   \n",
       "245866         0.0        0.0        0.0     0.0       51.0         59.0   \n",
       "245863        39.0       61.0       58.0    61.0        0.0          0.0   \n",
       "...            ...        ...        ...     ...        ...          ...   \n",
       "2335          56.0       52.0       27.0    67.0        0.0          0.0   \n",
       "2335          58.0       53.0       28.0    69.0        0.0          0.0   \n",
       "2196           0.0        0.0        0.0     0.0       79.0         81.0   \n",
       "2196           0.0        0.0        0.0     0.0       76.0         81.0   \n",
       "2147           0.0        0.0        0.0     0.0       81.0         75.0   \n",
       "2147           0.0        0.0        0.0     0.0       78.0         73.0   \n",
       "2147           0.0        0.0        0.0     0.0       76.0         73.0   \n",
       "2147           0.0        0.0        0.0     0.0       74.0         72.0   \n",
       "1238          87.0       81.0       21.0    68.0        0.0          0.0   \n",
       "1210          65.0       63.0       69.0    76.0        0.0          0.0   \n",
       "1210          65.0       63.0       69.0    71.0        0.0          0.0   \n",
       "1179           0.0        0.0        0.0     0.0       85.0         79.0   \n",
       "1179           0.0        0.0        0.0     0.0       87.0         88.0   \n",
       "1179           0.0        0.0        0.0     0.0       89.0         88.0   \n",
       "1179           0.0        0.0        0.0     0.0       88.0         87.0   \n",
       "1178          52.0       52.0       78.0    70.0        0.0          0.0   \n",
       "1178          52.0       52.0       78.0    70.0        0.0          0.0   \n",
       "887           44.0       38.0       65.0    71.0        0.0          0.0   \n",
       "887           44.0       38.0       65.0    71.0        0.0          0.0   \n",
       "768           51.0       52.0       79.0    66.0        0.0          0.0   \n",
       "768           51.0       52.0       79.0    66.0        0.0          0.0   \n",
       "768           51.0       52.0       78.0    63.0        0.0          0.0   \n",
       "657           73.0       70.0       65.0    57.0        0.0          0.0   \n",
       "657           74.0       70.0       66.0    59.0        0.0          0.0   \n",
       "657           72.0       67.0       66.0    62.0        0.0          0.0   \n",
       "645            0.0        0.0        0.0     0.0       58.0         51.0   \n",
       "591            0.0        0.0        0.0     0.0       66.0         57.0   \n",
       "591            0.0        0.0        0.0     0.0       52.0         54.0   \n",
       "330           75.0       83.0       31.0    69.0        0.0          0.0   \n",
       "164           72.0       68.0       71.0    71.0        0.0          0.0   \n",
       "\n",
       "           gk_kicking  gk_reflexes  gk_speed  gk_positioning  \\\n",
       "sofifa_id                                                      \n",
       "246063            0.0          0.0       0.0             0.0   \n",
       "246057            0.0          0.0       0.0             0.0   \n",
       "246051            0.0          0.0       0.0             0.0   \n",
       "246049            0.0          0.0       0.0             0.0   \n",
       "246048            0.0          0.0       0.0             0.0   \n",
       "246045            0.0          0.0       0.0             0.0   \n",
       "246044            0.0          0.0       0.0             0.0   \n",
       "246033            0.0          0.0       0.0             0.0   \n",
       "246032           59.0         67.0      26.0            54.0   \n",
       "246020            0.0          0.0       0.0             0.0   \n",
       "246015            0.0          0.0       0.0             0.0   \n",
       "246014            0.0          0.0       0.0             0.0   \n",
       "246012           63.0         63.0      34.0            57.0   \n",
       "246011            0.0          0.0       0.0             0.0   \n",
       "246010           60.0         68.0      44.0            66.0   \n",
       "246005            0.0          0.0       0.0             0.0   \n",
       "245999            0.0          0.0       0.0             0.0   \n",
       "245994            0.0          0.0       0.0             0.0   \n",
       "245993            0.0          0.0       0.0             0.0   \n",
       "245992            0.0          0.0       0.0             0.0   \n",
       "245989            0.0          0.0       0.0             0.0   \n",
       "245986            0.0          0.0       0.0             0.0   \n",
       "245977            0.0          0.0       0.0             0.0   \n",
       "245940            0.0          0.0       0.0             0.0   \n",
       "245931           56.0         51.0      23.0            54.0   \n",
       "245898            0.0          0.0       0.0             0.0   \n",
       "245895            0.0          0.0       0.0             0.0   \n",
       "245894            0.0          0.0       0.0             0.0   \n",
       "245866           55.0         55.0      21.0            45.0   \n",
       "245863            0.0          0.0       0.0             0.0   \n",
       "...               ...          ...       ...             ...   \n",
       "2335              0.0          0.0       0.0             0.0   \n",
       "2335              0.0          0.0       0.0             0.0   \n",
       "2196             53.0         77.0      23.0            79.0   \n",
       "2196             53.0         77.0      23.0            81.0   \n",
       "2147             82.0         79.0      41.0            76.0   \n",
       "2147             81.0         76.0      41.0            74.0   \n",
       "2147             79.0         75.0      41.0            72.0   \n",
       "2147             76.0         72.0      33.0            71.0   \n",
       "1238              0.0          0.0       0.0             0.0   \n",
       "1210              0.0          0.0       0.0             0.0   \n",
       "1210              0.0          0.0       0.0             0.0   \n",
       "1179             71.0         83.0      46.0            89.0   \n",
       "1179             68.0         84.0      46.0            90.0   \n",
       "1179             74.0         84.0      46.0            90.0   \n",
       "1179             74.0         83.0      46.0            90.0   \n",
       "1178              0.0          0.0       0.0             0.0   \n",
       "1178              0.0          0.0       0.0             0.0   \n",
       "887               0.0          0.0       0.0             0.0   \n",
       "887               0.0          0.0       0.0             0.0   \n",
       "768               0.0          0.0       0.0             0.0   \n",
       "768               0.0          0.0       0.0             0.0   \n",
       "768               0.0          0.0       0.0             0.0   \n",
       "657               0.0          0.0       0.0             0.0   \n",
       "657               0.0          0.0       0.0             0.0   \n",
       "657               0.0          0.0       0.0             0.0   \n",
       "645              49.0         62.0      12.0            58.0   \n",
       "591              45.0         64.0      12.0            65.0   \n",
       "591              45.0         63.0      12.0            58.0   \n",
       "330               0.0          0.0       0.0             0.0   \n",
       "164               0.0          0.0       0.0             0.0   \n",
       "\n",
       "           attacking_crossing  attacking_finishing  \\\n",
       "sofifa_id                                            \n",
       "246063                     43                   30   \n",
       "246057                     62                   56   \n",
       "246051                     41                   42   \n",
       "246049                     30                   65   \n",
       "246048                     24                   23   \n",
       "246045                     60                   63   \n",
       "246044                     51                   63   \n",
       "246033                     42                   38   \n",
       "246032                     10                    8   \n",
       "246020                     31                   52   \n",
       "246015                     68                   34   \n",
       "246014                     62                   39   \n",
       "246012                     14                    7   \n",
       "246011                     65                   65   \n",
       "246010                     21                   10   \n",
       "246005                     52                   27   \n",
       "245999                     52                   54   \n",
       "245994                     52                   51   \n",
       "245993                     42                   32   \n",
       "245992                     56                   48   \n",
       "245989                     63                   29   \n",
       "245986                     54                   38   \n",
       "245977                     45                   65   \n",
       "245940                     30                   55   \n",
       "245931                     12                    6   \n",
       "245898                     53                   49   \n",
       "245895                     71                   55   \n",
       "245894                     68                   60   \n",
       "245866                     14                    8   \n",
       "245863                     51                   34   \n",
       "...                       ...                  ...   \n",
       "2335                       49                   67   \n",
       "2335                       49                   62   \n",
       "2196                       25                   25   \n",
       "2196                       14                   11   \n",
       "2147                       25                   25   \n",
       "2147                       18                   11   \n",
       "2147                       18                   11   \n",
       "2147                       18                   11   \n",
       "1238                       83                   81   \n",
       "1210                       62                   48   \n",
       "1210                       61                   47   \n",
       "1179                       25                   25   \n",
       "1179                       13                   15   \n",
       "1179                       13                   15   \n",
       "1179                       13                   15   \n",
       "1178                       40                   31   \n",
       "1178                       39                   30   \n",
       "887                        37                   24   \n",
       "887                        36                   23   \n",
       "768                        46                   20   \n",
       "768                        34                   20   \n",
       "768                        34                   20   \n",
       "657                        73                   58   \n",
       "657                        72                   65   \n",
       "657                        68                   59   \n",
       "645                        25                   25   \n",
       "591                        25                   25   \n",
       "591                         8                    8   \n",
       "330                        68                   86   \n",
       "164                        71                   59   \n",
       "\n",
       "           attacking_heading_accuracy  attacking_short_passing  \\\n",
       "sofifa_id                                                        \n",
       "246063                             53                       52   \n",
       "246057                             62                       69   \n",
       "246051                             40                       40   \n",
       "246049                             59                       53   \n",
       "246048                             48                       34   \n",
       "246045                             43                       62   \n",
       "246044                             59                       58   \n",
       "246033                             52                       64   \n",
       "246032                             11                       28   \n",
       "246020                             40                       34   \n",
       "246015                             64                       68   \n",
       "246014                             60                       65   \n",
       "246012                             11                       18   \n",
       "246011                             55                       66   \n",
       "246010                             26                       30   \n",
       "246005                             39                       51   \n",
       "245999                             42                       55   \n",
       "245994                             44                       61   \n",
       "245993                             46                       57   \n",
       "245992                             50                       69   \n",
       "245989                             22                       58   \n",
       "245986                             51                       66   \n",
       "245977                             48                       59   \n",
       "245940                             54                       51   \n",
       "245931                             11                       23   \n",
       "245898                             41                       59   \n",
       "245895                             45                       61   \n",
       "245894                             50                       71   \n",
       "245866                             13                       17   \n",
       "245863                             48                       35   \n",
       "...                               ...                      ...   \n",
       "2335                               78                       67   \n",
       "2335                               75                       68   \n",
       "2196                               25                       31   \n",
       "2196                               17                       31   \n",
       "2147                               25                       40   \n",
       "2147                               14                       39   \n",
       "2147                               14                       39   \n",
       "2147                               14                       39   \n",
       "1238                               44                       90   \n",
       "1210                               72                       70   \n",
       "1210                               71                       67   \n",
       "1179                               32                       37   \n",
       "1179                               13                       37   \n",
       "1179                               13                       37   \n",
       "1179                               13                       37   \n",
       "1178                               79                       63   \n",
       "1178                               78                       62   \n",
       "887                                68                       53   \n",
       "887                                67                       52   \n",
       "768                                77                       69   \n",
       "768                                74                       62   \n",
       "768                                74                       62   \n",
       "657                                59                       78   \n",
       "657                                58                       77   \n",
       "657                                58                       74   \n",
       "645                                25                       37   \n",
       "591                                25                       21   \n",
       "591                                17                       21   \n",
       "330                                64                       82   \n",
       "164                                68                       77   \n",
       "\n",
       "           attacking_volleys  skill_dribbling  skill_curve  skill_fk_accuracy  \\\n",
       "sofifa_id                                                                       \n",
       "246063                    43               49           45                 34   \n",
       "246057                    48               58           32                 54   \n",
       "246051                    40               48           42                 36   \n",
       "246049                    49               55           30                 34   \n",
       "246048                    29               21           31                 29   \n",
       "246045                    50               60           51                 42   \n",
       "246044                    56               63           55                 43   \n",
       "246033                    34               59           39                 40   \n",
       "246032                     9               10           10                 11   \n",
       "246020                    36               51           31                 26   \n",
       "246015                    19               56           41                 50   \n",
       "246014                    49               56           58                 51   \n",
       "246012                     5               12           11                 10   \n",
       "246011                    61               67           48                 49   \n",
       "246010                    11               14           25                 24   \n",
       "246005                    28               54           26                 30   \n",
       "245999                    47               62           57                 46   \n",
       "245994                    42               56           44                 50   \n",
       "245993                    33               54           39                 34   \n",
       "245992                    59               64           58                 54   \n",
       "245989                    37               64           59                 39   \n",
       "245986                    35               59           49                 42   \n",
       "245977                    49               66           55                 38   \n",
       "245940                    47               56           33                 28   \n",
       "245931                     6                8           12                 10   \n",
       "245898                    52               59           39                 34   \n",
       "245895                    40               62           45                 32   \n",
       "245894                    39               70           45                 65   \n",
       "245866                     8                9           13                 13   \n",
       "245863                    26               64           36                 34   \n",
       "...                      ...              ...          ...                ...   \n",
       "2335                      56               49           43                 42   \n",
       "2335                      56               49           48                 42   \n",
       "2196                      25               25           25                 25   \n",
       "2196                      11               12           14                 10   \n",
       "2147                      25               25           25                 25   \n",
       "2147                      11               12           13                 13   \n",
       "2147                      11               12           13                 13   \n",
       "2147                      11               12           13                 13   \n",
       "1238                      90               80           77                 79   \n",
       "1210                      38               62           58                 66   \n",
       "1210                      37               61           57                 65   \n",
       "1179                      25               30           25                 25   \n",
       "1179                      17               27           20                 13   \n",
       "1179                      17               26           20                 13   \n",
       "1179                      17               26           20                 13   \n",
       "1178                      34               46           25                 25   \n",
       "1178                      33               45           24                 24   \n",
       "887                       28               33           36                 44   \n",
       "887                       27               32           35                 43   \n",
       "768                       19               52           49                 21   \n",
       "768                       19               44           49                 21   \n",
       "768                       19               44           49                 21   \n",
       "657                       62               70           70                 68   \n",
       "657                       61               69           69                 67   \n",
       "657                       57               64           68                 67   \n",
       "645                       25               25           25                 25   \n",
       "591                       21               25           25                 25   \n",
       "591                       15                7           14                  9   \n",
       "330                       85               83           83                 64   \n",
       "164                       68               66           58                 54   \n",
       "\n",
       "           skill_long_passing  skill_ball_control  movement_acceleration  \\\n",
       "sofifa_id                                                                  \n",
       "246063                     55                  53                     60   \n",
       "246057                     67                  56                     70   \n",
       "246051                     42                  50                     75   \n",
       "246049                     45                  55                     69   \n",
       "246048                     28                  38                     62   \n",
       "246045                     51                  62                     74   \n",
       "246044                     52                  62                     66   \n",
       "246033                     61                  56                     58   \n",
       "246032                     17                  17                     30   \n",
       "246020                     30                  48                     82   \n",
       "246015                     63                  48                     75   \n",
       "246014                     63                  45                     73   \n",
       "246012                     28                  16                     33   \n",
       "246011                     60                  65                     72   \n",
       "246010                     32                  18                     45   \n",
       "246005                     44                  38                     73   \n",
       "245999                     49                  58                     74   \n",
       "245994                     63                  58                     62   \n",
       "245993                     50                  52                     62   \n",
       "245992                     70                  62                     66   \n",
       "245989                     45                  59                     75   \n",
       "245986                     62                  63                     59   \n",
       "245977                     32                  65                     82   \n",
       "245940                     32                  57                     64   \n",
       "245931                     25                  16                     32   \n",
       "245898                     34                  57                     68   \n",
       "245895                     60                  51                     65   \n",
       "245894                     59                  50                     65   \n",
       "245866                     16                  14                     26   \n",
       "245863                     35                  57                     64   \n",
       "...                       ...                 ...                    ...   \n",
       "2335                       39                  64                     33   \n",
       "2335                       41                  63                     35   \n",
       "2196                       27                  25                     32   \n",
       "2196                       20                  19                     20   \n",
       "2147                       38                  32                     35   \n",
       "2147                       37                  31                     35   \n",
       "2147                       37                  31                     35   \n",
       "2147                       37                  31                     30   \n",
       "1238                       87                  90                     48   \n",
       "1210                       72                  70                     55   \n",
       "1210                       69                  68                     55   \n",
       "1179                       39                  28                     53   \n",
       "1179                       35                  31                     49   \n",
       "1179                       35                  28                     49   \n",
       "1179                       35                  28                     49   \n",
       "1178                       69                  61                     34   \n",
       "1178                       68                  60                     34   \n",
       "887                        37                  44                     54   \n",
       "887                        36                  43                     54   \n",
       "768                        66                  70                     50   \n",
       "768                        64                  60                     50   \n",
       "768                        64                  60                     38   \n",
       "657                        76                  74                     41   \n",
       "657                        75                  73                     41   \n",
       "657                        74                  70                     34   \n",
       "645                        32                  25                     25   \n",
       "591                        36                  21                     20   \n",
       "591                        32                  16                     11   \n",
       "330                        63                  87                     78   \n",
       "164                        77                  71                     70   \n",
       "\n",
       "           movement_sprint_speed  movement_agility  movement_reactions  \\\n",
       "sofifa_id                                                                \n",
       "246063                        67                60                  53   \n",
       "246057                        71                74                  66   \n",
       "246051                        72                52                  42   \n",
       "246049                        68                54                  60   \n",
       "246048                        61                51                  45   \n",
       "246045                        70                63                  55   \n",
       "246044                        64                60                  59   \n",
       "246033                        55                55                  51   \n",
       "246032                        23                33                  51   \n",
       "246020                        77                54                  39   \n",
       "246015                        78                58                  60   \n",
       "246014                        76                69                  61   \n",
       "246012                        34                37                  30   \n",
       "246011                        75                61                  51   \n",
       "246010                        44                61                  60   \n",
       "246005                        71                58                  43   \n",
       "245999                        72                72                  57   \n",
       "245994                        61                61                  55   \n",
       "245993                        57                49                  56   \n",
       "245992                        56                75                  51   \n",
       "245989                        74                68                  62   \n",
       "245986                        58                65                  60   \n",
       "245977                        73                73                  60   \n",
       "245940                        62                57                  54   \n",
       "245931                        15                38                  43   \n",
       "245898                        65                69                  55   \n",
       "245895                        70                63                  45   \n",
       "245894                        70                71                  55   \n",
       "245866                        16                36                  45   \n",
       "245863                        61                58                  57   \n",
       "...                          ...               ...                 ...   \n",
       "2335                          53                32                  67   \n",
       "2335                          40                35                  67   \n",
       "2196                          33                39                  83   \n",
       "2196                          26                28                  78   \n",
       "2147                          45                35                  74   \n",
       "2147                          45                35                  73   \n",
       "2147                          45                35                  73   \n",
       "2147                          36                30                  72   \n",
       "1238                          34                69                  83   \n",
       "1210                          55                57                  72   \n",
       "1210                          52                56                  71   \n",
       "1179                          53                59                  78   \n",
       "1179                          43                55                  84   \n",
       "1179                          43                55                  80   \n",
       "1179                          43                55                  79   \n",
       "1178                          51                60                  69   \n",
       "1178                          51                60                  68   \n",
       "887                           50                43                  62   \n",
       "887                           50                33                  61   \n",
       "768                           55                62                  72   \n",
       "768                           54                52                  72   \n",
       "768                           41                49                  72   \n",
       "657                           32                59                  68   \n",
       "657                           32                59                  67   \n",
       "657                           32                61                  67   \n",
       "645                           25                25                  61   \n",
       "591                           21                34                  81   \n",
       "591                           12                20                  67   \n",
       "330                           68                77                  83   \n",
       "164                           66                72                  69   \n",
       "\n",
       "           movement_balance  power_shot_power  power_jumping  power_stamina  \\\n",
       "sofifa_id                                                                     \n",
       "246063                   59                56             59             52   \n",
       "246057                   72                64             66             69   \n",
       "246051                   58                40             48             45   \n",
       "246049                   79                60             65             70   \n",
       "246048                   69                40             76             68   \n",
       "246045                   68                64             53             58   \n",
       "246044                   66                59             61             33   \n",
       "246033                   64                53             58             49   \n",
       "246032                   24                15             34             27   \n",
       "246020                   61                46             57             48   \n",
       "246015                   56                59             62             68   \n",
       "246014                   75                54             61             68   \n",
       "246012                   51                15             62             22   \n",
       "246011                   66                64             60             70   \n",
       "246010                   50                25             60             37   \n",
       "246005                   69                29             62             56   \n",
       "245999                   80                58             49             48   \n",
       "245994                   62                59             54             47   \n",
       "245993                   72                53             61             52   \n",
       "245992                   82                48             60             50   \n",
       "245989                   75                33             62             60   \n",
       "245986                   67                57             62             57   \n",
       "245977                   71                79             60             64   \n",
       "245940                   47                59             62             56   \n",
       "245931                   44                24             60             25   \n",
       "245898                   72                58             59             65   \n",
       "245895                   65                55             49             69   \n",
       "245894                   71                58             43             51   \n",
       "245866                   41                21             58             21   \n",
       "245863                   66                32             63             62   \n",
       "...                     ...               ...            ...            ...   \n",
       "2335                     52                69             70             34   \n",
       "2335                     51                60             66             34   \n",
       "2196                     36                44             73             32   \n",
       "2196                     36                25             69             28   \n",
       "2147                     27                25             55             30   \n",
       "2147                     27                13             55             30   \n",
       "2147                     27                13             55             30   \n",
       "2147                     27                13             55             30   \n",
       "1238                     60                90             34             55   \n",
       "1210                     55                76             74             74   \n",
       "1210                     55                74             71             63   \n",
       "1179                     49                47             75             39   \n",
       "1179                     49                58             75             39   \n",
       "1179                     49                39             75             39   \n",
       "1179                     49                39             75             39   \n",
       "1178                     50                73             80             49   \n",
       "1178                     50                72             80             49   \n",
       "887                      54                28             61             64   \n",
       "887                      54                27             60             62   \n",
       "768                      71                68             70             55   \n",
       "768                      63                68             70             55   \n",
       "768                      63                68             70             48   \n",
       "657                      90                71             74             72   \n",
       "657                      90                70             74             52   \n",
       "657                      90                70             74             69   \n",
       "645                      25                25             25             25   \n",
       "591                      41                25             53             30   \n",
       "591                      37                12             50             25   \n",
       "330                      83                83             66             72   \n",
       "164                      62                77             72             70   \n",
       "\n",
       "           power_strength  power_long_shots  mentality_aggression  \\\n",
       "sofifa_id                                                           \n",
       "246063                 66                32                    56   \n",
       "246057                 58                62                    67   \n",
       "246051                 50                38                    40   \n",
       "246049                 59                53                    31   \n",
       "246048                 61                33                    49   \n",
       "246045                 47                52                    31   \n",
       "246044                 54                62                    49   \n",
       "246033                 60                37                    60   \n",
       "246032                 60                 7                    28   \n",
       "246020                 48                44                    25   \n",
       "246015                 73                42                    66   \n",
       "246014                 63                33                    68   \n",
       "246012                 34                 9                    25   \n",
       "246011                 60                60                    45   \n",
       "246010                 65                27                    22   \n",
       "246005                 49                29                    52   \n",
       "245999                 43                50                    43   \n",
       "245994                 45                44                    52   \n",
       "245993                 48                39                    59   \n",
       "245992                 32                50                    54   \n",
       "245989                 29                32                    48   \n",
       "245986                 62                53                    58   \n",
       "245977                 61                60                    54   \n",
       "245940                 73                46                    31   \n",
       "245931                 53                 9                    20   \n",
       "245898                 60                46                    34   \n",
       "245895                 65                50                    28   \n",
       "245894                 53                52                    34   \n",
       "245866                 54                 8                    19   \n",
       "245863                 55                28                    74   \n",
       "...                   ...               ...                   ...   \n",
       "2335                   82                47                    79   \n",
       "2335                   82                47                    83   \n",
       "2196                   78                25                    38   \n",
       "2196                   76                11                    38   \n",
       "2147                   77                25                    42   \n",
       "2147                   77                11                    41   \n",
       "2147                   77                11                    41   \n",
       "2147                   77                11                    41   \n",
       "1238                   78                86                    69   \n",
       "1210                   78                76                    80   \n",
       "1210                   73                76                    79   \n",
       "1179                   66                25                    42   \n",
       "1179                   75                13                    38   \n",
       "1179                   69                13                    38   \n",
       "1179                   69                13                    38   \n",
       "1178                   76                52                    79   \n",
       "1178                   76                51                    78   \n",
       "887                    85                24                    63   \n",
       "887                    81                23                    62   \n",
       "768                    71                40                    74   \n",
       "768                    69                40                    70   \n",
       "768                    67                40                    70   \n",
       "657                    57                81                    74   \n",
       "657                    57                75                    73   \n",
       "657                    59                73                    73   \n",
       "645                    64                25                    34   \n",
       "591                    61                25                    25   \n",
       "591                    56                 9                    23   \n",
       "330                    68                82                    68   \n",
       "164                    72                73                    77   \n",
       "\n",
       "           mentality_interceptions  mentality_positioning  mentality_vision  \\\n",
       "sofifa_id                                                                     \n",
       "246063                          45                     34                46   \n",
       "246057                          65                     52                55   \n",
       "246051                          36                     41                55   \n",
       "246049                          19                     59                41   \n",
       "246048                          58                     28                29   \n",
       "246045                          18                     61                53   \n",
       "246044                          23                     61                53   \n",
       "246033                          50                     32                54   \n",
       "246032                           7                      6                36   \n",
       "246020                          18                     47                41   \n",
       "246015                          63                     40                39   \n",
       "246014                          58                     44                46   \n",
       "246012                          13                      4                22   \n",
       "246011                          45                     60                48   \n",
       "246010                          22                     14                35   \n",
       "246005                          54                     53                38   \n",
       "245999                          19                     58                54   \n",
       "245994                          52                     51                58   \n",
       "245993                          53                     41                44   \n",
       "245992                          46                     55                66   \n",
       "245989                          64                     56                42   \n",
       "245986                          53                     55                63   \n",
       "245977                          18                     65                46   \n",
       "245940                          17                     56                51   \n",
       "245931                           6                      6                29   \n",
       "245898                          20                     48                56   \n",
       "245895                          24                     55                53   \n",
       "245894                          23                     46                61   \n",
       "245866                           7                      6                24   \n",
       "245863                          56                     46                40   \n",
       "...                            ...                    ...               ...   \n",
       "2335                            24                     67                66   \n",
       "2335                            26                     69                68   \n",
       "2196                            25                     25                37   \n",
       "2196                            13                      8                32   \n",
       "2147                            27                     25                25   \n",
       "2147                            26                     13                41   \n",
       "2147                            26                     13                41   \n",
       "2147                            26                     12                40   \n",
       "1238                            24                     79                90   \n",
       "1210                            76                     60                68   \n",
       "1210                            75                     59                64   \n",
       "1179                            29                     25                75   \n",
       "1179                            36                     14                50   \n",
       "1179                            28                     12                50   \n",
       "1179                            28                     12                50   \n",
       "1178                            81                     36                51   \n",
       "1178                            80                     35                50   \n",
       "887                             62                     44                49   \n",
       "887                             61                     40                48   \n",
       "768                             83                     29                51   \n",
       "768                             81                     29                46   \n",
       "768                             81                     29                46   \n",
       "657                             65                     65                71   \n",
       "657                             72                     64                76   \n",
       "657                             68                     55                73   \n",
       "645                             22                     25                31   \n",
       "591                             25                     25                25   \n",
       "591                             13                      7                23   \n",
       "330                             35                     86                83   \n",
       "164                             77                     67                77   \n",
       "\n",
       "           mentality_penalties  mentality_composure  defending_marking  \\\n",
       "sofifa_id                                                                \n",
       "246063                      44                 43.0                 48   \n",
       "246057                      49                 57.0                 64   \n",
       "246051                      35                 49.0                 30   \n",
       "246049                      55                 58.0                 11   \n",
       "246048                      36                 43.0                 50   \n",
       "246045                      47                 59.0                 26   \n",
       "246044                      61                 59.0                 21   \n",
       "246033                      47                 49.0                 52   \n",
       "246032                      18                 23.0                  5   \n",
       "246020                      54                 35.0                 19   \n",
       "246015                      65                 52.0                 66   \n",
       "246014                      54                 54.0                 65   \n",
       "246012                      12                 39.0                  7   \n",
       "246011                      62                 57.0                 40   \n",
       "246010                      24                 36.0                 11   \n",
       "246005                      31                 41.0                 55   \n",
       "245999                      53                 60.0                 24   \n",
       "245994                      61                 49.0                 47   \n",
       "245993                      41                 46.0                 51   \n",
       "245992                      49                 64.0                 41   \n",
       "245989                      40                 51.0                 58   \n",
       "245986                      52                 60.0                 43   \n",
       "245977                      52                 69.0                 21   \n",
       "245940                      66                 51.0                 18   \n",
       "245931                      17                 30.0                  8   \n",
       "245898                      46                 52.0                 22   \n",
       "245895                      53                 48.0                 26   \n",
       "245894                      70                 42.0                 17   \n",
       "245866                      12                 23.0                  9   \n",
       "245863                      45                 34.0                 54   \n",
       "...                        ...                  ...                ...   \n",
       "2335                        68                 66.0                 23   \n",
       "2335                        68                 69.0                 24   \n",
       "2196                        29                  0.0                 25   \n",
       "2196                        17                 58.0                 11   \n",
       "2147                        24                  0.0                 25   \n",
       "2147                        23                 63.0                 18   \n",
       "2147                        23                 63.0                 18   \n",
       "2147                        23                 59.0                  9   \n",
       "1238                        90                  0.0                 25   \n",
       "1210                        64                  0.0                 65   \n",
       "1210                        63                 77.0                 63   \n",
       "1179                        35                  0.0                 25   \n",
       "1179                        22                 80.0                 10   \n",
       "1179                        22                 80.0                 10   \n",
       "1179                        22                 70.0                 13   \n",
       "1178                        48                  0.0                 80   \n",
       "1178                        47                 69.0                 77   \n",
       "887                         33                  0.0                 67   \n",
       "887                         32                 59.0                 64   \n",
       "768                         35                 67.0                 84   \n",
       "768                         35                 69.0                 80   \n",
       "768                         35                 68.0                 77   \n",
       "657                         75                  0.0                 66   \n",
       "657                         74                 81.0                 65   \n",
       "657                         66                 87.0                 65   \n",
       "645                         25                  0.0                 25   \n",
       "591                         25                  0.0                 25   \n",
       "591                         13                 40.0                  9   \n",
       "330                         76                  0.0                 29   \n",
       "164                         67                 74.0                 65   \n",
       "\n",
       "           defending_standing_tackle  defending_sliding_tackle  \\\n",
       "sofifa_id                                                        \n",
       "246063                            59                        58   \n",
       "246057                            63                        59   \n",
       "246051                            40                        40   \n",
       "246049                            12                        17   \n",
       "246048                            57                        52   \n",
       "246045                            29                        31   \n",
       "246044                            25                        22   \n",
       "246033                            51                        59   \n",
       "246032                            14                        10   \n",
       "246020                            17                        18   \n",
       "246015                            68                        67   \n",
       "246014                            69                        67   \n",
       "246012                            11                        10   \n",
       "246011                            59                        45   \n",
       "246010                            12                        11   \n",
       "246005                            56                        45   \n",
       "245999                            25                        28   \n",
       "245994                            49                        43   \n",
       "245993                            55                        57   \n",
       "245992                            45                        47   \n",
       "245989                            62                        64   \n",
       "245986                            51                        47   \n",
       "245977                            26                        24   \n",
       "245940                            17                        16   \n",
       "245931                            14                        14   \n",
       "245898                            21                        28   \n",
       "245895                            29                        28   \n",
       "245894                            28                        28   \n",
       "245866                            14                        11   \n",
       "245863                            63                        66   \n",
       "...                              ...                       ...   \n",
       "2335                              20                        19   \n",
       "2335                              20                        19   \n",
       "2196                              25                        25   \n",
       "2196                              17                        18   \n",
       "2147                              25                        25   \n",
       "2147                              15                        14   \n",
       "2147                              15                        14   \n",
       "2147                              15                        14   \n",
       "1238                              24                        25   \n",
       "1210                              70                        72   \n",
       "1210                              69                        71   \n",
       "1179                              25                        25   \n",
       "1179                              11                        11   \n",
       "1179                              11                        11   \n",
       "1179                              11                        11   \n",
       "1178                              81                        79   \n",
       "1178                              78                        76   \n",
       "887                               69                        69   \n",
       "887                               67                        66   \n",
       "768                               82                        76   \n",
       "768                               80                        76   \n",
       "768                               80                        76   \n",
       "657                               68                        68   \n",
       "657                               67                        67   \n",
       "657                               69                        64   \n",
       "645                               25                        25   \n",
       "591                               25                        25   \n",
       "591                               11                        17   \n",
       "330                               27                        25   \n",
       "164                               73                        69   \n",
       "\n",
       "           goalkeeping_diving  goalkeeping_handling  goalkeeping_kicking  \\\n",
       "sofifa_id                                                                  \n",
       "246063                     14                     8                   14   \n",
       "246057                      7                    10                    9   \n",
       "246051                     10                     8                   14   \n",
       "246049                      6                     7                   12   \n",
       "246048                     12                     5                    9   \n",
       "246045                      8                     9                   15   \n",
       "246044                     13                    10                    8   \n",
       "246033                      6                    13                   13   \n",
       "246032                     52                    57                   59   \n",
       "246020                     10                     9                   14   \n",
       "246015                     12                    14                    9   \n",
       "246014                      6                    12                    8   \n",
       "246012                     55                    61                   63   \n",
       "246011                     11                     6                   12   \n",
       "246010                     66                    69                   60   \n",
       "246005                      8                    10                   11   \n",
       "245999                     14                    12                   10   \n",
       "245994                     13                    15                   14   \n",
       "245993                      7                     6                   10   \n",
       "245992                      9                     7                    9   \n",
       "245989                      7                     8                    6   \n",
       "245986                     10                     8                    6   \n",
       "245977                     10                    12                   10   \n",
       "245940                      8                    13                   13   \n",
       "245931                     53                    55                   56   \n",
       "245898                     13                     5                   13   \n",
       "245895                     14                    11                    9   \n",
       "245894                      9                    12                   12   \n",
       "245866                     51                    59                   55   \n",
       "245863                     12                    10                    6   \n",
       "...                       ...                   ...                  ...   \n",
       "2335                       12                    13                   10   \n",
       "2335                       12                    13                   10   \n",
       "2196                       81                    83                   58   \n",
       "2196                       79                    81                   53   \n",
       "2147                       82                    76                   83   \n",
       "2147                       79                    73                   81   \n",
       "2147                       78                    73                   81   \n",
       "2147                       74                    72                   76   \n",
       "1238                        5                    12                   14   \n",
       "1210                       16                     8                   10   \n",
       "1210                       15                     7                    9   \n",
       "1179                       86                    81                   80   \n",
       "1179                       89                    97                   71   \n",
       "1179                       91                    88                   80   \n",
       "1179                       88                    87                   74   \n",
       "1178                       15                     9                    6   \n",
       "1178                       14                     8                    5   \n",
       "887                        11                     7                   12   \n",
       "887                        10                     6                   11   \n",
       "768                        11                     6                    8   \n",
       "768                        11                     6                    8   \n",
       "768                        11                     6                    8   \n",
       "657                         7                    10                   11   \n",
       "657                         6                     9                   10   \n",
       "657                         6                     9                   10   \n",
       "645                        59                    52                   50   \n",
       "591                        69                    57                   51   \n",
       "591                        63                    57                   45   \n",
       "330                        12                    10                   14   \n",
       "164                         5                    15                    7   \n",
       "\n",
       "           goalkeeping_positioning  goalkeeping_reflexes  year  position  \\\n",
       "sofifa_id                                                                  \n",
       "246063                          11                    11  2019         1   \n",
       "246057                          14                    13  2019         1   \n",
       "246051                          11                    11  2019         1   \n",
       "246049                           6                     6  2019         0   \n",
       "246048                          15                     8  2019         2   \n",
       "246045                           8                     9  2019         0   \n",
       "246044                          12                     8  2019         0   \n",
       "246033                          10                    10  2019         1   \n",
       "246032                          54                    67  2019         3   \n",
       "246020                          13                    11  2019         0   \n",
       "246015                           8                    12  2019         2   \n",
       "246014                           6                     5  2019         2   \n",
       "246012                          57                    63  2019         3   \n",
       "246011                           7                     6  2019         0   \n",
       "246010                          66                    68  2019         3   \n",
       "246005                          11                    10  2019         2   \n",
       "245999                           6                     9  2019         0   \n",
       "245994                           8                     9  2019         1   \n",
       "245993                           6                     9  2019         1   \n",
       "245992                          13                    12  2019         1   \n",
       "245989                           5                    11  2019         2   \n",
       "245986                           7                     7  2019         1   \n",
       "245977                           5                    13  2019         0   \n",
       "245940                           9                    11  2019         0   \n",
       "245931                          54                    51  2019         3   \n",
       "245898                          12                     7  2019         0   \n",
       "245895                          14                    10  2019         1   \n",
       "245894                           9                    11  2019         0   \n",
       "245866                          45                    55  2019         3   \n",
       "245863                          10                    14  2019         2   \n",
       "...                            ...                   ...   ...       ...   \n",
       "2335                            10                     9  2018         0   \n",
       "2335                            10                     9  2019         0   \n",
       "2196                            79                    81  2016         3   \n",
       "2196                            83                    77  2017         3   \n",
       "2147                            77                    80  2016         3   \n",
       "2147                            74                    76  2017         3   \n",
       "2147                            74                    76  2018         3   \n",
       "2147                            71                    72  2019         3   \n",
       "1238                            11                    11  2016         0   \n",
       "1210                             9                     7  2016         1   \n",
       "1210                             8                     6  2017         1   \n",
       "1179                            90                    86  2016         3   \n",
       "1179                            91                    85  2017         3   \n",
       "1179                            90                    84  2018         3   \n",
       "1179                            90                    83  2019         3   \n",
       "1178                            15                     6  2016         2   \n",
       "1178                            14                     5  2017         2   \n",
       "887                             17                    11  2016         2   \n",
       "887                             16                    10  2017         2   \n",
       "768                              9                     5  2017         2   \n",
       "768                              9                     5  2018         2   \n",
       "768                              9                     5  2019         2   \n",
       "657                             10                     8  2016         1   \n",
       "657                              9                     7  2017         1   \n",
       "657                              9                     7  2018         1   \n",
       "645                             59                    63  2016         3   \n",
       "591                             68                    67  2016         3   \n",
       "591                             63                    64  2017         3   \n",
       "330                             15                    17  2016         0   \n",
       "164                              6                    13  2017         1   \n",
       "\n",
       "           work_rate_rank  y_value_eur  y_overall  \n",
       "sofifa_id                                          \n",
       "246063                  4     170000.0       55.0  \n",
       "246057                  4     775000.0       65.0  \n",
       "246051                  7      50000.0       49.0  \n",
       "246049                  7     825000.0       64.0  \n",
       "246048                  1     750000.0       63.0  \n",
       "246045                  7    3700000.0       70.0  \n",
       "246044                  4    1600000.0       67.0  \n",
       "246033                  4    1600000.0       67.0  \n",
       "246032                  4     140000.0       58.0  \n",
       "246020                  4     170000.0       55.0  \n",
       "246015                  4     875000.0       67.0  \n",
       "246014                  7     475000.0       62.0  \n",
       "246012                  4     190000.0       57.0  \n",
       "246011                  7    1100000.0       66.0  \n",
       "246010                  4     725000.0       66.0  \n",
       "246005                  4     130000.0       54.0  \n",
       "245999                  4    1100000.0       65.0  \n",
       "245994                  4     260000.0       58.0  \n",
       "245993                  4     170000.0       55.0  \n",
       "245992                  4     675000.0       62.0  \n",
       "245989                  4     500000.0       62.0  \n",
       "245986                  4     825000.0       65.0  \n",
       "245977                  7     550000.0       63.0  \n",
       "245940                  4    3400000.0       70.0  \n",
       "245931                  4      60000.0       53.0  \n",
       "245898                  4     600000.0       64.0  \n",
       "245895                  4     475000.0       62.0  \n",
       "245894                  7    1300000.0       66.0  \n",
       "245866                  4     110000.0       53.0  \n",
       "245863                  4     325000.0       60.0  \n",
       "...                   ...          ...        ...  \n",
       "2335                    4     130000.0       63.0  \n",
       "2335                    4      90000.0       62.0  \n",
       "2196                    4    4900000.0       78.0  \n",
       "2196                    4    1200000.0       77.0  \n",
       "2147                    4    3800000.0       76.0  \n",
       "2147                    4    2700000.0       75.0  \n",
       "2147                    4     950000.0       73.0  \n",
       "2147                    4     675000.0       73.0  \n",
       "1238                    4    1500000.0       80.0  \n",
       "1210                    2     230000.0       70.0  \n",
       "1210                    2      90000.0       66.0  \n",
       "1179                    4    9000000.0       88.0  \n",
       "1179                    4    4500000.0       89.0  \n",
       "1179                    4    4000000.0       88.0  \n",
       "1179                    4    2600000.0       83.0  \n",
       "1178                    2     900000.0       76.0  \n",
       "1178                    2     900000.0       75.0  \n",
       "887                     1     300000.0       65.0  \n",
       "887                     1     220000.0       65.0  \n",
       "768                     1    3800000.0       75.0  \n",
       "768                     1    2700000.0       75.0  \n",
       "768                     1    2100000.0       74.0  \n",
       "657                     4     600000.0       70.0  \n",
       "657                     5     325000.0       69.0  \n",
       "657                     5     150000.0       66.0  \n",
       "645                     4      20000.0       57.0  \n",
       "591                     4      20000.0       58.0  \n",
       "591                     4      10000.0       59.0  \n",
       "330                     6    5500000.0       80.0  \n",
       "164                     5     240000.0       70.0  \n",
       "\n",
       "[52107 rows x 61 columns]"
      ]
     },
     "execution_count": 597,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Value_eur Prediction Model (Multi-linear Regrssion)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 350,
   "metadata": {},
   "outputs": [],
   "source": [
    "#MAPE\n",
    "def mean_absolute_percentage_error(y_true, y_pred): \n",
    "\n",
    "    ## Note: does not handle mix 1d representation\n",
    "    #if _is_1d(y_true): \n",
    "    #    y_true, y_pred = _check_1d_array(y_true, y_pred)\n",
    "\n",
    "    return np.mean(np.abs((y_true - y_pred)) / (y_true + 1)) * 100\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 330,
   "metadata": {},
   "outputs": [],
   "source": [
    "def stepwise_selection(X, y, \n",
    "                       initial_list=[], \n",
    "                       threshold_in=0.01, \n",
    "                       threshold_out = 0.05, \n",
    "                       verbose=True):\n",
    "    \"\"\" Perform a forward-backward feature selection \n",
    "    based on p-value from statsmodels.api.OLS\n",
    "    Arguments:\n",
    "        X - pandas.DataFrame with candidate features\n",
    "        y - list-like with the target\n",
    "        initial_list - list of features to start with (column names of X)\n",
    "        threshold_in - include a feature if its p-value < threshold_in\n",
    "        threshold_out - exclude a feature if its p-value > threshold_out\n",
    "        verbose - whether to print the sequence of inclusions and exclusions\n",
    "    Returns: list of selected features \n",
    "    Always set threshold_in < threshold_out to avoid infinite looping.\n",
    "    See https://en.wikipedia.org/wiki/Stepwise_regression for the details\n",
    "    \"\"\"\n",
    "    included = list(initial_list)\n",
    "    while True:\n",
    "        changed=False\n",
    "        # forward step\n",
    "        excluded = list(set(X.columns)-set(included))\n",
    "        new_pval = pd.Series(index=excluded)\n",
    "        for new_column in excluded:\n",
    "            model = sm.OLS(y, sm.add_constant(pd.DataFrame(X[included+[new_column]]))).fit()\n",
    "            new_pval[new_column] = model.pvalues[new_column]\n",
    "        best_pval = new_pval.min()\n",
    "        if best_pval < threshold_in:\n",
    "            best_feature = new_pval.argmin()\n",
    "            included.append(best_feature)\n",
    "            changed=True\n",
    "            if verbose:\n",
    "                print('Add  {:30} with p-value {:.6}'.format(best_feature, best_pval))\n",
    "\n",
    "        # backward step\n",
    "        model = sm.OLS(y, sm.add_constant(pd.DataFrame(X[included]))).fit()\n",
    "        # use all coefs except intercept\n",
    "        pvalues = model.pvalues.iloc[1:]\n",
    "        worst_pval = pvalues.max() # null if pvalues is empty\n",
    "        if worst_pval > threshold_out:\n",
    "            changed=True\n",
    "            worst_feature = pvalues.argmax()\n",
    "            included.remove(worst_feature)\n",
    "            if verbose:\n",
    "                print('Drop {:30} with p-value {:.6}'.format(worst_feature, worst_pval))\n",
    "        if not changed:\n",
    "            break\n",
    "    return included"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 598,
   "metadata": {},
   "outputs": [],
   "source": [
    "#1. Wage_df\n",
    "wage_df = new_df.drop(columns = ['y_overall'])\n",
    "df_x = wage_df.drop(columns = ['y_value_eur'])\n",
    "df_y = wage_df[['y_value_eur']]\n",
    "\n",
    "#Column Transform\n",
    "df_x[['value_eur', 'wage_eur']] = preprocessing.MinMaxScaler().fit_transform(df_x[['value_eur', 'wage_eur']])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 599,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Dimension Reduction by stepwise for mlr\n",
    "def stepwise_selection(X, y, \n",
    "                       initial_list=[], \n",
    "                       threshold_in=0.01, \n",
    "                       threshold_out = 0.05, \n",
    "                       verbose=True):\n",
    "    \"\"\" Perform a forward-backward feature selection \n",
    "    based on p-value from statsmodels.api.OLS\n",
    "    Arguments:\n",
    "        X - pandas.DataFrame with candidate features\n",
    "        y - list-like with the target\n",
    "        initial_list - list of features to start with (column names of X)\n",
    "        threshold_in - include a feature if its p-value < threshold_in\n",
    "        threshold_out - exclude a feature if its p-value > threshold_out\n",
    "        verbose - whether to print the sequence of inclusions and exclusions\n",
    "    Returns: list of selected features \n",
    "    Always set threshold_in < threshold_out to avoid infinite looping.\n",
    "    See https://en.wikipedia.org/wiki/Stepwise_regression for the details\n",
    "    \"\"\"\n",
    "    included = list(initial_list)\n",
    "    while True:\n",
    "        changed=False\n",
    "        # forward step\n",
    "        excluded = list(set(X.columns)-set(included))\n",
    "        new_pval = pd.Series(index=excluded)\n",
    "        for new_column in excluded:\n",
    "            model = sm.OLS(y, sm.add_constant(pd.DataFrame(X[included+[new_column]]))).fit()\n",
    "            new_pval[new_column] = model.pvalues[new_column]\n",
    "        best_pval = new_pval.min()\n",
    "        if best_pval < threshold_in:\n",
    "            best_feature = new_pval.argmin()\n",
    "            included.append(best_feature)\n",
    "            changed=True\n",
    "            if verbose:\n",
    "                print('Add  {:30} with p-value {:.6}'.format(best_feature, best_pval))\n",
    "\n",
    "        # backward step\n",
    "        model = sm.OLS(y, sm.add_constant(pd.DataFrame(X[included]))).fit()\n",
    "        # use all coefs except intercept\n",
    "        pvalues = model.pvalues.iloc[1:]\n",
    "        worst_pval = pvalues.max() # null if pvalues is empty\n",
    "        if worst_pval > threshold_out:\n",
    "            changed=True\n",
    "            worst_feature = pvalues.argmax()\n",
    "            included.remove(worst_feature)\n",
    "            if verbose:\n",
    "                print('Drop {:30} with p-value {:.6}'.format(worst_feature, worst_pval))\n",
    "        if not changed:\n",
    "            break\n",
    "    return included"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 600,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "//anaconda3/lib/python3.7/site-packages/numpy/core/fromnumeric.py:2389: FutureWarning: Method .ptp is deprecated and will be removed in a future version. Use numpy.ptp instead.\n",
      "  return ptp(axis=axis, out=out, **kwargs)\n",
      "//anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:31: FutureWarning: \n",
      "The current behaviour of 'Series.argmin' is deprecated, use 'idxmin'\n",
      "instead.\n",
      "The behavior of 'argmin' will be corrected to return the positional\n",
      "minimum in the future. For now, use 'series.values.argmin' or\n",
      "'np.argmin(np.array(values))' to get the position of the minimum\n",
      "row.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Add  mentality_vision               with p-value 0.0\n",
      "Add  value_eur                      with p-value 0.0\n",
      "Add  age                            with p-value 0.0\n",
      "Add  overall                        with p-value 1.01239e-184\n",
      "Add  international_reputation       with p-value 9.84796e-33\n",
      "Add  year                           with p-value 1.33013e-35\n",
      "Add  wage_eur                       with p-value 1.20231e-22\n",
      "Add  movement_reactions             with p-value 4.24832e-06\n",
      "Add  height_cm                      with p-value 3.72331e-06\n",
      "Add  potential                      with p-value 7.721e-06\n",
      "Add  defending                      with p-value 0.000526687\n",
      "Add  defending_standing_tackle      with p-value 0.000521476\n",
      "Add  skill_dribbling                with p-value 1.23224e-06\n",
      "Drop mentality_vision               with p-value 0.160382\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "//anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:44: FutureWarning: \n",
      "The current behaviour of 'Series.argmax' is deprecated, use 'idxmax'\n",
      "instead.\n",
      "The behavior of 'argmax' will be corrected to return the positional\n",
      "maximum in the future. For now, use 'series.values.argmax' or\n",
      "'np.argmax(np.array(values))' to get the position of the maximum\n",
      "row.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Add  mentality_composure            with p-value 0.000199102\n",
      "Add  skill_moves                    with p-value 0.00709629\n"
     ]
    }
   ],
   "source": [
    "#Dimension_reduction\n",
    "mlr_features_result = stepwise_selection(df_x, df_y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 601,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "df_x_filter = df_x[mlr_features_result]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 340,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# # #Scale Data\n",
    "# x_min_max_scaler = preprocessing.MinMaxScaler().fit(X_train)\n",
    "# X_train_minmax = x_min_max_scaler.transform(X_train)\n",
    "# X_test_minmax = x_min_max_scaler.transform(X_test)\n",
    "\n",
    "# y_min_max_scaler = preprocessing.MinMaxScaler().fit(y_train)\n",
    "# y_train_minmax = y_min_max_scaler.transform(y_train)\n",
    "# y_test_minmax = y_min_max_scaler.transform(y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 602,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(df_x_filter, df_y, test_size=0.2, random_state=1)\n",
    "#Tranditional Linear Model\n",
    "mlr = LinearRegression()\n",
    "mlr.fit(X_train, y_train)\n",
    "mlr_predicted_y = mlr.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 603,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "mlr_predicted_y = np.where(mlr_predicted_y <=0, 0, mlr_predicted_y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 604,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "value_eur_mlr_mape: y_value_eur    2.171257e+06\n",
      "dtype: float64\n",
      "value_eur_mlr_rmse: 2285687.289133613\n"
     ]
    }
   ],
   "source": [
    "#Wage MLR Error\n",
    "value_eur_mlr_mape = mean_absolute_percentage_error(mlr_predicted_y, y_test)\n",
    "print('value_eur_mlr_mape:', value_eur_mlr_mape)\n",
    "value_eur_mlr_rmse = sqrt(mean_squared_error(y_test, mlr_predicted_y))\n",
    "print('value_eur_mlr_rmse:', value_eur_mlr_rmse)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 605,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    5.210700e+04\n",
       "mean     2.585488e+06\n",
       "std      5.607298e+06\n",
       "min      0.000000e+00\n",
       "25%      3.750000e+05\n",
       "50%      8.000000e+05\n",
       "75%      2.300000e+06\n",
       "max      1.230000e+08\n",
       "Name: value_eur, dtype: float64"
      ]
     },
     "execution_count": 605,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wage_df['value_eur'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 606,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'whiskers': [<matplotlib.lines.Line2D at 0x1a41e6dcf8>,\n",
       "  <matplotlib.lines.Line2D at 0x1a41e6dd30>],\n",
       " 'caps': [<matplotlib.lines.Line2D at 0x1a41e6d0b8>,\n",
       "  <matplotlib.lines.Line2D at 0x1a41e6d7f0>],\n",
       " 'boxes': [<matplotlib.lines.Line2D at 0x1a41e6d5c0>],\n",
       " 'medians': [<matplotlib.lines.Line2D at 0x1a41de3400>],\n",
       " 'fliers': [<matplotlib.lines.Line2D at 0x1a41de3780>],\n",
       " 'means': []}"
      ]
     },
     "execution_count": 606,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.boxplot(wage_df['value_eur'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Filter outlier Version"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 607,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Filter out the too expensive player\n",
    "#1. Wage_df\n",
    "wage_df = new_df.drop(columns = ['y_overall'])\n",
    "\n",
    "mean_value = np.mean(wage_df['value_eur'])\n",
    "sd_value = np.std(wage_df['value_eur'])\n",
    "wage_df = wage_df[(wage_df['value_eur'] >0) & (wage_df['value_eur'] <= mean_value + 2 * sd_value)]\n",
    "df_x = wage_df.drop(columns = ['y_value_eur'])\n",
    "df_y = wage_df[['y_value_eur']]\n",
    "\n",
    "# #Column Transform\n",
    "df_x[['value_eur', 'wage_eur']] = preprocessing.MinMaxScaler().fit_transform(df_x[['value_eur', 'wage_eur']])\n",
    "df_x_filter = df_x[mlr_features_result]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 608,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(df_x_filter, df_y, test_size=0.2, random_state=1)\n",
    "#Tranditional Linear Model\n",
    "mlr = LinearRegression()\n",
    "mlr.fit(X_train, y_train)\n",
    "filter_mlr_predicted_y = mlr.predict(X_test)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 611,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "value_mlr_mape: y_value_eur    32.363165\n",
      "dtype: float64\n",
      "value_mlr_rmse: 1789941.5995008876\n"
     ]
    }
   ],
   "source": [
    "#Wage MLR Error\n",
    "filter_value_mlr_mape = mean_absolute_percentage_error(filter_mlr_predicted_y, y_test)\n",
    "print('value_mlr_mape:', filter_value_mlr_mape)\n",
    "filter_value_mlr_rmse = sqrt(mean_squared_error(y_test, filter_mlr_predicted_y))\n",
    "print('value_mlr_rmse:', filter_value_mlr_rmse)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Wage Prediction - XGboost"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 613,
   "metadata": {},
   "outputs": [],
   "source": [
    "#1. Wage_df\n",
    "wage_df = new_df.drop(columns = ['y_overall'])\n",
    "df_x = wage_df.drop(columns = ['y_value_eur'])\n",
    "df_y = wage_df[['y_value_eur']]\n",
    "\n",
    "#Column Transform\n",
    "df_x[['value_eur', 'wage_eur']] = preprocessing.MinMaxScaler().fit_transform(df_x[['value_eur', 'wage_eur']])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 614,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[21:12:20] WARNING: src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "XGBRegressor(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n",
       "             colsample_bynode=1, colsample_bytree=1, gamma=0,\n",
       "             importance_type='gain', learning_rate=0.1, max_delta_step=0,\n",
       "             max_depth=3, min_child_weight=1, missing=None, n_estimators=100,\n",
       "             n_jobs=1, nthread=None, objective='reg:linear', random_state=1,\n",
       "             reg_alpha=0, reg_lambda=1, scale_pos_weight=1, seed=None,\n",
       "             silent=None, subsample=1, verbosity=1)"
      ]
     },
     "execution_count": 614,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#XGBoost\n",
    "wage_xgboost = xgboost.XGBRegressor(random_state = 1)\n",
    "wage_xgboost.fit(df_x, df_y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 615,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['value_eur',\n",
       " 'potential',\n",
       " 'dribbling',\n",
       " 'overall',\n",
       " 'movement_acceleration',\n",
       " 'mentality_positioning',\n",
       " 'age',\n",
       " 'year',\n",
       " 'skill_ball_control',\n",
       " 'defending',\n",
       " 'skill_dribbling',\n",
       " 'attacking_finishing',\n",
       " 'defending_marking',\n",
       " 'wage_eur',\n",
       " 'attacking_volleys',\n",
       " 'shooting',\n",
       " 'mentality_composure',\n",
       " 'passing']"
      ]
     },
     "execution_count": 615,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Feature Selection\n",
    "feature_value_list = OrderedDict(wage_xgboost.get_booster().get_fscore().items())\n",
    "xgboost_filter = []\n",
    "for feature, value in feature_value_list.items():\n",
    "    if value >= 10:\n",
    "        xgboost_filter.append(feature)\n",
    "xgboost_filter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 616,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_x_filter = df_x[xgboost_filter]\n",
    "X_train, X_test, y_train, y_test = train_test_split(df_x_filter, df_y, test_size=0.2, random_state=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 617,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[21:12:41] WARNING: src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "XGBRegressor(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n",
       "             colsample_bynode=1, colsample_bytree=1, gamma=0,\n",
       "             importance_type='gain', learning_rate=0.1, max_delta_step=0,\n",
       "             max_depth=3, min_child_weight=1, missing=None, n_estimators=100,\n",
       "             n_jobs=1, nthread=None, objective='reg:linear', random_state=1,\n",
       "             reg_alpha=0, reg_lambda=1, scale_pos_weight=1, seed=None,\n",
       "             silent=None, subsample=1, verbosity=1)"
      ]
     },
     "execution_count": 617,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wage_xgboost = xgboost.XGBRegressor(random_state = 1)\n",
    "wage_xgboost.fit(df_x_filter, df_y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 618,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "value_mlr_mape: 392.8634837084147\n",
      "value_mlr_rmse: 2082388.9375095852\n"
     ]
    }
   ],
   "source": [
    "xgboost_predicted_y = wage_xgboost.predict(X_test)\n",
    "#Wage XGboost Error\n",
    "value_xgboost_mape = mean_absolute_percentage_error(xgboost_predicted_y, y_test.values)\n",
    "print('value_mlr_mape:', value_xgboost_mape)\n",
    "value_xgboost_rmse = sqrt(mean_squared_error(y_test, xgboost_predicted_y))\n",
    "print('value_mlr_rmse:', value_xgboost_rmse)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Filter outlier version"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 623,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Filter out the too expensive player\n",
    "#1. Wage_df\n",
    "value_df = new_df.drop(columns = ['y_overall'])\n",
    "\n",
    "mean_wage = np.mean(wage_df['value_eur'])\n",
    "sd_wage = np.std(wage_df['value_eur'])\n",
    "value_df = value_df[(value_df['value_eur'] >0) & (value_df['value_eur'] <= mean_wage + 2 * sd_wage)]\n",
    "df_x = value_df.drop(columns = ['y_value_eur'])\n",
    "df_y = value_df[['y_value_eur']]\n",
    "\n",
    "# #Column Transform\n",
    "df_x[['value_eur', 'wage_eur']] = preprocessing.MinMaxScaler().fit_transform(df_x[['value_eur', 'wage_eur']])\n",
    "df_x_filter = df_x[xgboost_filter]\n",
    "X_train, X_test, y_train, y_test = train_test_split(df_x_filter, df_y, test_size=0.2, random_state=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 626,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[21:15:32] WARNING: src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "XGBRegressor(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n",
       "             colsample_bynode=1, colsample_bytree=1, gamma=0,\n",
       "             importance_type='gain', learning_rate=0.1, max_delta_step=0,\n",
       "             max_depth=3, min_child_weight=1, missing=None, n_estimators=100,\n",
       "             n_jobs=1, nthread=None, objective='reg:linear', random_state=1,\n",
       "             reg_alpha=0, reg_lambda=1, scale_pos_weight=1, seed=None,\n",
       "             silent=None, subsample=1, verbosity=1)"
      ]
     },
     "execution_count": 626,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wage_xgboost = xgboost.XGBRegressor(random_state = 1)\n",
    "wage_xgboost.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 627,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "value_mlr_mape: 313.45799890718695\n",
      "value_mlr_rmse: 1449051.1797411025\n"
     ]
    }
   ],
   "source": [
    "filter_xgboost_predicted_y = wage_xgboost.predict(X_test)\n",
    "#Wage XGboost Error\n",
    "filter_value_xgboost_mape = mean_absolute_percentage_error(filter_xgboost_predicted_y, y_test.values)\n",
    "print('value_mlr_mape:',filter_value_xgboost_mape)\n",
    "filter_value_xgboost_rmse = sqrt(mean_squared_error(y_test, filter_xgboost_predicted_y))\n",
    "print('value_mlr_rmse:', filter_value_xgboost_rmse)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Tuning (filter oultier version)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 628,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting 3 folds for each of 256 candidates, totalling 768 fits\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "//anaconda3/lib/python3.7/site-packages/sklearn/model_selection/_split.py:1978: FutureWarning: The default value of cv will change from 3 to 5 in version 0.22. Specify it explicitly to silence this warning.\n",
      "  warnings.warn(CV_WARNING, FutureWarning)\n",
      "[Parallel(n_jobs=10)]: Using backend LokyBackend with 10 concurrent workers.\n",
      "[Parallel(n_jobs=10)]: Done   5 tasks      | elapsed:    5.5s\n",
      "[Parallel(n_jobs=10)]: Done  12 tasks      | elapsed:    8.9s\n",
      "[Parallel(n_jobs=10)]: Done  21 tasks      | elapsed:   12.7s\n",
      "[Parallel(n_jobs=10)]: Done  30 tasks      | elapsed:   13.1s\n",
      "[Parallel(n_jobs=10)]: Done  41 tasks      | elapsed:   20.1s\n",
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      "[Parallel(n_jobs=10)]: Done  65 tasks      | elapsed:   31.0s\n",
      "[Parallel(n_jobs=10)]: Done  78 tasks      | elapsed:   36.8s\n",
      "[Parallel(n_jobs=10)]: Done  93 tasks      | elapsed:   46.4s\n",
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      "[Parallel(n_jobs=10)]: Done 125 tasks      | elapsed:   57.5s\n",
      "[Parallel(n_jobs=10)]: Done 142 tasks      | elapsed:  1.0min\n",
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      "[Parallel(n_jobs=10)]: Done 180 tasks      | elapsed:  1.4min\n",
      "[Parallel(n_jobs=10)]: Done 201 tasks      | elapsed:  1.5min\n",
      "[Parallel(n_jobs=10)]: Done 222 tasks      | elapsed:  1.7min\n",
      "[Parallel(n_jobs=10)]: Done 245 tasks      | elapsed:  1.9min\n",
      "[Parallel(n_jobs=10)]: Done 268 tasks      | elapsed:  2.0min\n",
      "[Parallel(n_jobs=10)]: Done 293 tasks      | elapsed:  2.2min\n",
      "[Parallel(n_jobs=10)]: Done 318 tasks      | elapsed:  2.4min\n",
      "[Parallel(n_jobs=10)]: Done 345 tasks      | elapsed:  2.6min\n",
      "[Parallel(n_jobs=10)]: Done 372 tasks      | elapsed:  2.9min\n",
      "[Parallel(n_jobs=10)]: Done 401 tasks      | elapsed:  3.1min\n",
      "[Parallel(n_jobs=10)]: Done 430 tasks      | elapsed:  3.3min\n",
      "[Parallel(n_jobs=10)]: Done 461 tasks      | elapsed:  3.6min\n",
      "[Parallel(n_jobs=10)]: Done 492 tasks      | elapsed:  3.9min\n",
      "[Parallel(n_jobs=10)]: Done 525 tasks      | elapsed:  4.1min\n",
      "[Parallel(n_jobs=10)]: Done 558 tasks      | elapsed:  4.4min\n",
      "[Parallel(n_jobs=10)]: Done 593 tasks      | elapsed:  4.8min\n",
      "[Parallel(n_jobs=10)]: Done 628 tasks      | elapsed:  5.1min\n",
      "[Parallel(n_jobs=10)]: Done 665 tasks      | elapsed:  5.5min\n",
      "[Parallel(n_jobs=10)]: Done 702 tasks      | elapsed:  5.7min\n",
      "[Parallel(n_jobs=10)]: Done 741 tasks      | elapsed:  6.1min\n",
      "[Parallel(n_jobs=10)]: Done 768 out of 768 | elapsed:  6.3min finished\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[21:22:41] WARNING: src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "GridSearchCV(cv='warn', error_score='raise-deprecating',\n",
       "             estimator=XGBRegressor(base_score=0.5, booster='gbtree',\n",
       "                                    colsample_bylevel=1, colsample_bynode=1,\n",
       "                                    colsample_bytree=0.8, gamma=0,\n",
       "                                    importance_type='gain', learning_rate=0.1,\n",
       "                                    max_delta_step=0, max_depth=5,\n",
       "                                    min_child_weight=1, missing=None,\n",
       "                                    n_estimators=1000, n_jobs=1, nthread=6,\n",
       "                                    objective='reg:linear', random=1,\n",
       "                                    r...\n",
       "             iid=False, n_jobs=10,\n",
       "             param_grid={'colsample_bytree': [0.4, 0.6], 'gamma': [0, 0.03],\n",
       "                         'learning_rate': [0.1, 0.07], 'max_depth': [3, 5],\n",
       "                         'min_child_weight': [1.5, 6], 'n_estimators': [100],\n",
       "                         'reg_alpha': [1e-05, 0.75],\n",
       "                         'reg_lambda': [1e-05, 0.45],\n",
       "                         'subsample': [0.6, 0.95]},\n",
       "             pre_dispatch='2*n_jobs', refit=True, return_train_score=False,\n",
       "             scoring='neg_mean_squared_error', verbose=10)"
      ]
     },
     "execution_count": 628,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# #for tuning parameters\n",
    "parameters_for_testing = {\n",
    "   'colsample_bytree':[0.4,0.6],\n",
    "   'gamma':[0,0.03],\n",
    "   'min_child_weight':[1.5,6],\n",
    "   'learning_rate':[0.1,0.07],\n",
    "   'max_depth':[3,5],\n",
    "   'n_estimators':[100],\n",
    "   'reg_alpha':[1e-5, 0.75],\n",
    "   'reg_lambda':[1e-5, 0.45],\n",
    "   'subsample':[0.6,0.95]  \n",
    "}\n",
    "\n",
    "                    \n",
    "xgb_model = xgboost.XGBRegressor(learning_rate =0.1, n_estimators=1000, max_depth=5,\n",
    "     min_child_weight=1, gamma=0, subsample=0.8, colsample_bytree=0.8, nthread=6, scale_pos_weight=1, random = 1)\n",
    "\n",
    "gsearch1 = GridSearchCV(estimator = xgb_model, param_grid = parameters_for_testing, n_jobs=10,iid=False, verbose=10,scoring='neg_mean_squared_error')\n",
    "gsearch1.fit(X_train, y_train)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 629,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<bound method BaseSearchCV.score of GridSearchCV(cv='warn', error_score='raise-deprecating',\n",
      "             estimator=XGBRegressor(base_score=0.5, booster='gbtree',\n",
      "                                    colsample_bylevel=1, colsample_bynode=1,\n",
      "                                    colsample_bytree=0.8, gamma=0,\n",
      "                                    importance_type='gain', learning_rate=0.1,\n",
      "                                    max_delta_step=0, max_depth=5,\n",
      "                                    min_child_weight=1, missing=None,\n",
      "                                    n_estimators=1000, n_jobs=1, nthread=6,\n",
      "                                    objective='reg:linear', random=1,\n",
      "                                    r...\n",
      "             iid=False, n_jobs=10,\n",
      "             param_grid={'colsample_bytree': [0.4, 0.6], 'gamma': [0, 0.03],\n",
      "                         'learning_rate': [0.1, 0.07], 'max_depth': [3, 5],\n",
      "                         'min_child_weight': [1.5, 6], 'n_estimators': [100],\n",
      "                         'reg_alpha': [1e-05, 0.75],\n",
      "                         'reg_lambda': [1e-05, 0.45],\n",
      "                         'subsample': [0.6, 0.95]},\n",
      "             pre_dispatch='2*n_jobs', refit=True, return_train_score=False,\n",
      "             scoring='neg_mean_squared_error', verbose=10)>\n",
      "best params\n",
      "{'colsample_bytree': 0.4, 'gamma': 0, 'learning_rate': 0.07, 'max_depth': 5, 'min_child_weight': 6, 'n_estimators': 100, 'reg_alpha': 0.75, 'reg_lambda': 0.45, 'subsample': 0.95}\n",
      "best score\n",
      "-1862603875317.3064\n"
     ]
    }
   ],
   "source": [
    "print (gsearch1.score)\n",
    "print('best params')\n",
    "print (gsearch1.best_params_)\n",
    "print('best score')\n",
    "print (gsearch1.best_score_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 632,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[21:28:57] WARNING: src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror.\n",
      "value_mlr_mape: 254.24777098142997\n",
      "value_mlr_rmse: 1447289.7625008568\n"
     ]
    }
   ],
   "source": [
    "best_xgb_model = xgboost.XGBRegressor(colsample_bytree = 0.4, gamma = 0, learning_rate = 0.07, max_depth= 5,\n",
    "                                      min_child_weight = 6, n_estimators= 100, reg_alpha= 0.75, reg_lambda= 0.45,\n",
    "                                      subsample= 0.95, random_state =1)\n",
    "best_xgb_model.fit(X_train, y_train)\n",
    "tuned_xgboots_predicted_y = best_xgb_model.predict(X_test)\n",
    "\n",
    "#Wage XGboost Error\n",
    "tuned_value_xgboost_mape = mean_absolute_percentage_error(tuned_xgboots_predicted_y, y_test.values)\n",
    "print('value_mlr_mape:',tuned_value_xgboost_mape)\n",
    "tuned_value_xgboost_rmse = sqrt(mean_squared_error(y_test, tuned_xgboots_predicted_y))\n",
    "print('value_mlr_rmse:', tuned_value_xgboost_rmse)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([14663.398 , 12692.737 ,  2576.508 , ...,  3538.308 , 22083.898 ,\n",
       "         2781.9282], dtype=float32),            y_wage_eur\n",
       " sofifa_id            \n",
       " 234875        17000.0\n",
       " 205598         6000.0\n",
       " 213528         4000.0\n",
       " 199339         7000.0\n",
       " 224158        14000.0\n",
       " 213228         4000.0\n",
       " 231330         2000.0\n",
       " 140415        62000.0\n",
       " 239357         6000.0\n",
       " 209364         2000.0\n",
       " 242965         8000.0\n",
       " 198861        46000.0\n",
       " 233201        15000.0\n",
       " 216700        23000.0\n",
       " 183665         5000.0\n",
       " 193749         9000.0\n",
       " 172872         3000.0\n",
       " 223709         7000.0\n",
       " 234488         9000.0\n",
       " 162830         1000.0\n",
       " 241021         1000.0\n",
       " 226166        30000.0\n",
       " 221564        16000.0\n",
       " 232999         1000.0\n",
       " 202474         3000.0\n",
       " 208334        45000.0\n",
       " 206198        20000.0\n",
       " 193525         1000.0\n",
       " 192073        88000.0\n",
       " 235868         3000.0\n",
       " ...               ...\n",
       " 202841         1000.0\n",
       " 216475        39000.0\n",
       " 218208        25000.0\n",
       " 215616         1000.0\n",
       " 170448         9000.0\n",
       " 164568         7000.0\n",
       " 238656         1000.0\n",
       " 231507        10000.0\n",
       " 184200       125000.0\n",
       " 236518        12000.0\n",
       " 237307         1000.0\n",
       " 220356         6000.0\n",
       " 182860            0.0\n",
       " 219487         2000.0\n",
       " 242139         1000.0\n",
       " 201878        20000.0\n",
       " 220985         1000.0\n",
       " 229474         2000.0\n",
       " 205531        15000.0\n",
       " 231821         5000.0\n",
       " 222590         6000.0\n",
       " 193077        50000.0\n",
       " 232204         1000.0\n",
       " 206170         3000.0\n",
       " 226698         1000.0\n",
       " 214944        20000.0\n",
       " 200517        24000.0\n",
       " 231256         1000.0\n",
       " 133249        12000.0\n",
       " 144050         5000.0\n",
       " \n",
       " [10422 rows x 1 columns])"
      ]
     },
     "execution_count": 181,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "best_xgb_model.predict(X_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2021 Wage Predict\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 637,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "df_2020 = df[df['year'] == 2020].copy()\n",
    "\n",
    "df_2020['position'] = df_2020['position'].apply(lambda x:position_convert(x))\n",
    "df_2020 = df_2020[xgboost_filter]\n",
    "df_2020[['value_eur', 'wage_eur']] = preprocessing.MinMaxScaler().fit_transform(df_2020[['value_eur', 'wage_eur']])\n",
    "df_2020['value_eur_2021'] = best_xgb_model.predict(df_2020)\n",
    "value_df_2020 = df_2020"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 638,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "value_csv = df_2020[['value_eur_2021']].copy()\n",
    "value_csv = wage_csv.reset_index()\n",
    "value_csv.to_csv('value_2021.csv', index = False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Wage Summary\n",
    "1. using minmaxscale\n",
    "2. After filter outlier(expensive player) --> result improved\n",
    "3. XGboost is better result (RMSE)\n",
    "4. Tuning --> better\n",
    "5. Data is not good enough (RMSE improvement)\n",
    "6. based on the computer and time resources, tuning on GridSearch should be on later (further improvment)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Overall Prediction Model (XGboost)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 531,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "overall_df = new_df.drop(columns = ['y_wage_eur']).copy()\n",
    "df_x = overall_df.drop(columns = 'y_overall')\n",
    "df_y = overall_df[['y_overall']]\n",
    "df_x[['value_eur', 'wage_eur']] = preprocessing.MinMaxScaler().fit_transform(df_x[['value_eur', 'wage_eur']])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 537,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[16:41:48] WARNING: src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "XGBRegressor(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n",
       "             colsample_bynode=1, colsample_bytree=1, gamma=0,\n",
       "             importance_type='gain', learning_rate=0.1, max_delta_step=0,\n",
       "             max_depth=3, min_child_weight=1, missing=None, n_estimators=100,\n",
       "             n_jobs=1, nthread=None, objective='reg:linear', random_state=1,\n",
       "             reg_alpha=0, reg_lambda=1, scale_pos_weight=1, seed=None,\n",
       "             silent=None, subsample=1, verbosity=1)"
      ]
     },
     "execution_count": 537,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "overall_xgboost = xgboost.XGBRegressor(random_state = 1)\n",
    "overall_xgboost.fit(df_x, df_y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 538,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['overall',\n",
       " 'value_eur',\n",
       " 'potential',\n",
       " 'wage_eur',\n",
       " 'mentality_composure',\n",
       " 'movement_reactions',\n",
       " 'age',\n",
       " 'attacking_short_passing',\n",
       " 'defending_standing_tackle',\n",
       " 'mentality_interceptions',\n",
       " 'weight_kg',\n",
       " 'height_cm',\n",
       " 'goalkeeping_kicking',\n",
       " 'skill_dribbling']"
      ]
     },
     "execution_count": 538,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Feature Selection\n",
    "feature_value_list = OrderedDict(overall_xgboost.get_booster().get_fscore().items())\n",
    "xgboost_filter = []\n",
    "for feature, value in feature_value_list.items():\n",
    "    if value >= 10:\n",
    "        xgboost_filter.append(feature)\n",
    "xgboost_filter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 550,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[16:44:10] WARNING: src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror.\n"
     ]
    }
   ],
   "source": [
    "df_x_filter = df_x[xgboost_filter]\n",
    "X_train, X_test, y_train, y_test = train_test_split(df_x_filter, df_y, test_size=0.2, random_state=1)\n",
    "\n",
    "overall_xgboost = xgboost.XGBRegressor(random_state = 1)\n",
    "overall_xgboost.fit(X_train, y_train)\n",
    "overall_predicted_y = overall_xgboost.predict(X_test)\n",
    "overall_predicted_y = np.round(overall_predicted_y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 551,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "wage_mlr_rmse: 2.4032816750105606\n"
     ]
    }
   ],
   "source": [
    "#RMSE\n",
    "overall_rmse = sqrt(mean_squared_error(y_test, overall_predicted_y))\n",
    "print('wage_mlr_rmse:', overall_rmse)\n",
    "#Acceptable --> no tuning and no tuning"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2021 overall predict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 555,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "df_2020 = df[df['year'] == 2020].copy()\n",
    "\n",
    "df_2020['position'] = df_2020['position'].apply(lambda x:position_convert(x))\n",
    "df_2020 = df_2020[xgboost_filter]\n",
    "df_2020[['value_eur', 'wage_eur']] = preprocessing.MinMaxScaler().fit_transform(df_2020[['value_eur', 'wage_eur']])\n",
    "df_2020['overall_2021'] =np.round(overall_xgboost.predict(df_2020))\n",
    "overall_df_2020 = df_2020"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Overall Summary\n",
    "1. RMSE = 2.5 --> acceptable --> no tuning for it\n",
    "2. overall >=90 mostly will be decrease in next year ; <90 will be increased"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###\n",
    "1. weight_kg, height_cm is a key factor in everywhere --> 天生質素先係最重要\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Combine CSV"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 641,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_2020 = df[df['year'] == 2020].copy()\n",
    "combine_df = overall_df_2020[['overall_2021']].copy()\n",
    "combine_df = combine_df.join(df_2020['position'])\n",
    "combine_df = combine_df.join(value_df_2020['value_eur_2021']).copy()\n",
    "combine_df['value_eur_2021'] = np.round(combine_df['value_eur_2021'])\n",
    "combine_df = combine_df.reset_index()\n",
    "combine_df.to_csv('2021_value_overall.csv', index = False)\n",
    "#combine_df \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 633,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-0.36680350371682563"
      ]
     },
     "execution_count": 633,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x =2285687\n",
    "y = 1447289\n",
    "(y-x)/x"
   ]
  }
 ],
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